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ORCIDPatrick Jaillet
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- affiliation: MIT, USA
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2020 – today
- 2024
[j65]Moïse Blanchard
, Alexandre Jacquillat, Patrick Jaillet:
Probabilistic Bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem. Math. Oper. Res. 49(2): 1169-1191 (2024)- [c96]Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet:
Optimistic Bayesian Optimization with Unknown Constraints. ICLR 2024 - [c95]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes. ICLR 2024 - [c94]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML 2024 - [c93]Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low:
Deletion-Anticipative Data Selection with a Limited Budget. ICML 2024 - [c92]Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet:
A Universal Class of Sharpness-Aware Minimization Algorithms. ICML 2024 - [c91]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. WWW 2024: 267-275 - [i90]Patrick Jaillet, Chara Podimata, Zijie Zhou:
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. CoRR abs/2402.08533 (2024) - [i89]Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet:
Incentives in Private Collaborative Machine Learning. CoRR abs/2404.01676 (2024) - [i88]Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR abs/2405.16122 (2024) - [i87]Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with Human Feedback. CoRR abs/2405.17346 (2024) - [i86]Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet:
A Universal Class of Sharpness-Aware Minimization Algorithms. CoRR abs/2406.03682 (2024) - [i85]Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low:
Neural Dueling Bandits. CoRR abs/2407.17112 (2024) - [i84]Moïse Blanchard, Patrick Jaillet:
Near-Optimal Mechanisms for Resource Allocation Without Monetary Transfers. CoRR abs/2408.10066 (2024) - 2023
- [j64]Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley:
Edge-Weighted Online Windowed Matching. Math. Oper. Res. 48(2): 999-1016 (2023) - [c90]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Pricing against a Budget and ROI Constrained Buyer. AISTATS 2023: 9282-9307 - [c89]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
Incentive-aware Contextual Pricing with Non-parametric Market Noise. AISTATS 2023: 9331-9361 - [c88]Sohil Shah, Saurabh Amin, Patrick Jaillet:
Information Disclosure About Booster Efficacy in a Non-Stationary Environment. CDC 2023: 5222-5229 - [c87]Moïse Blanchard, Junhui Zhang, Patrick Jaillet:
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. COLT 2023: 4696-4736 - [c86]Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet:
Federated Neural Bandits. ICLR 2023 - [c85]Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet:
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation. ICLR 2023 - [c84]Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low:
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. ICLR 2023 - [c83]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Multi-channel Autobidding with Budget and ROI Constraints. ICML 2023: 7617-7644 - [c82]Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer:
DRCFS: Doubly Robust Causal Feature Selection. ICML 2023: 28468-28491 - [c81]Moïse Blanchard, Junhui Zhang, Patrick Jaillet:
Memory-Constrained Algorithms for Convex Optimization. NeurIPS 2023 - [c80]Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet:
Quantum Bayesian Optimization. NeurIPS 2023 - [c79]Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet:
Batch Bayesian Optimization For Replicable Experimental Design. NeurIPS 2023 - [c78]Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet:
Incentives in Private Collaborative Machine Learning. NeurIPS 2023 - [i83]Moïse Blanchard, Steve Hanneke, Patrick Jaillet:
Contextual Bandits and Optimistically Universal Learning. CoRR abs/2301.00241 (2023) - [i82]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Multi-channel Autobidding with Budget and ROI Constraints. CoRR abs/2302.01523 (2023) - [i81]Moïse Blanchard, Junhui Zhang, Patrick Jaillet:
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. CoRR abs/2302.04963 (2023) - [i80]Gauthier Guinet, Saurabh Amin, Patrick Jaillet:
Effective Dimension in Bandit Problems under Censorship. CoRR abs/2302.06916 (2023) - [i79]Moïse Blanchard, Steve Hanneke, Patrick Jaillet:
Non-stationary Contextual Bandits and Universal Learning. CoRR abs/2302.07186 (2023) - [i78]Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer:
DRCFS: Doubly Robust Causal Feature Selection. CoRR abs/2306.07024 (2023) - [i77]Moïse Blanchard, Junhui Zhang, Patrick Jaillet:
Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes. CoRR abs/2306.10096 (2023) - [i76]Negin Golrezaei, Patrick Jaillet, Zijie Zhou:
Online Resource Allocation with Convex-set Machine-Learned Advice. CoRR abs/2306.12282 (2023) - [i75]Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu:
Market Design for Dynamic Pricing and Pooling in Capacitated Networks. CoRR abs/2307.03994 (2023) - [i74]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR abs/2310.02905 (2023) - [i73]Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet:
Quantum Bayesian Optimization. CoRR abs/2310.05373 (2023) - [i72]Junhui Zhang, Patrick Jaillet:
Secretary Problems with Random Number of Candidates: How Prior Distributional Information Helps. CoRR abs/2310.07884 (2023) - [i71]Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet:
Batch Bayesian Optimization for Replicable Experimental Design. CoRR abs/2311.01195 (2023) - [i70]Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer:
Doubly Robust Structure Identification from Temporal Data. CoRR abs/2311.06012 (2023) - [i69]Sohil Shah, Saurabh Amin, Patrick Jaillet:
Information Design for Hybrid Work under Infectious Disease Transmission Risk. CoRR abs/2312.04073 (2023) - [i68]Rafael Hanashiro, Patrick Jaillet:
Distribution-Dependent Rates for Multi-Distribution Learning. CoRR abs/2312.13130 (2023) - 2022
- [j63]Supriyo Ghosh, Patrick Jaillet:
An iterative security game for computing robust and adaptive network flows. Comput. Oper. Res. 138: 105558 (2022) - [j62]Patrick Jaillet, Sanjay Dominik Jena, Tsan Sheng Adam Ng, Melvyn Sim:
Satisficing Models Under Uncertainty. INFORMS J. Optim. 4(4): 347-372 (2022) - [j61]Patrick Jaillet, Gar Goei Loke, Melvyn Sim:
Strategic Workforce Planning Under Uncertainty. Oper. Res. 70(2): 1042-1065 (2022) - [j60]Mathieu Dahan, Saurabh Amin, Patrick Jaillet:
Probability Distributions on Partially Ordered Sets and Network Interdiction Games. Math. Oper. Res. 47(1): 458-484 (2022) - [c77]Sohil Shah, Saurabh Amin, Patrick Jaillet:
Optimal Information Provision for Strategic Hybrid Workers. CDC 2022: 3807-3814 - [c76]Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet:
Sample-Then-Optimize Batch Neural Thompson Sampling. NeurIPS 2022 - [c75]Gauthier Guinet, Saurabh Amin, Patrick Jaillet:
Effective Dimension in Bandit Problems under Censorship. NeurIPS 2022 - [c74]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning. NeurIPS 2022 - [c73]Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet:
On provably robust meta-Bayesian optimization. UAI 2022: 475-485 - [i67]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Rectified Max-Value Entropy Search for Bayesian Optimization. CoRR abs/2202.13597 (2022) - [i66]Moïse Blanchard, Patrick Jaillet:
Universal Regression with Adversarial Responses. CoRR abs/2203.05067 (2022) - [i65]Sohil Shah, Saurabh Amin, Patrick Jaillet:
Optimal Information Provision for Strategic Hybrid Workers. CoRR abs/2205.02732 (2022) - [i64]Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet:
Federated Neural Bandit. CoRR abs/2205.14309 (2022) - [i63]Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet:
On Provably Robust Meta-Bayesian Optimization. CoRR abs/2206.06872 (2022) - [i62]The Viet Bui, Tien Mai, Patrick Jaillet:
Weighted Maximum Entropy Inverse Reinforcement Learning. CoRR abs/2208.09611 (2022) - [i61]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Fairness in the Autobidding World with Machine-learned Advice. CoRR abs/2209.04748 (2022) - [i60]Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet:
Sample-Then-Optimize Batch Neural Thompson Sampling. CoRR abs/2210.06850 (2022) - [i59]Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet:
Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem. CoRR abs/2211.11063 (2022) - [i58]Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet:
Additional Results and Extensions for the paper "Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem". CoRR abs/2211.11065 (2022) - 2021
- [j59]Florian Delavernhe, Patrick Jaillet, André Rossi, Marc Sevaux:
Planning a multi-sensors search for a moving target considering traveling costs. Eur. J. Oper. Res. 292(2): 469-482 (2021) - [j58]Hossein Hashemi Doulabi, Patrick Jaillet, Gilles Pesant, Louis-Martin Rousseau:
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios. INFORMS J. Comput. 33(1): 143-162 (2021) - [j57]Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi:
Online Resource Allocation Under Partially Predictable Demand. Oper. Res. 69(3): 895-915 (2021) - [j56]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. 70: 119-167 (2021) - [j55]Maaike Hoogeboom, Yossiri Adulyasak, Wout Dullaert, Patrick Jaillet:
The Robust Vehicle Routing Problem with Time Window Assignments. Transp. Sci. 55(2): 395-413 (2021) - [c72]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
An Information-Theoretic Framework for Unifying Active Learning Problems. AAAI 2021: 9126-9134 - [c71]Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet:
Top-k Ranking Bayesian Optimization. AAAI 2021: 9135-9143 - [c70]Thanh Chi Lam, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet:
Model Fusion for Personalized Learning. ICML 2021: 5948-5958 - [c69]Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Value-at-Risk Optimization with Gaussian Processes. ICML 2021: 8063-8072 - [c68]Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet:
Collaborative Bayesian Optimization with Fair Regret. ICML 2021: 9691-9701 - [c67]Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet:
Convolutional Normalizing Flows for Deep Gaussian Processes. IJCNN 2021: 1-6 - [c66]Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Optimizing Conditional Value-At-Risk of Black-Box Functions. NeurIPS 2021: 4170-4180 - [c65]Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Differentially Private Federated Bayesian Optimization with Distributed Exploration. NeurIPS 2021: 9125-9139 - [c64]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Learning to learn with Gaussian processes. UAI 2021: 1466-1475 - [c63]Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet:
Trusted-maximizers entropy search for efficient Bayesian optimization. UAI 2021: 1486-1495 - [i57]Saurabh Amin, Patrick Jaillet, Manxi Wu:
Efficient Carpooling and Toll Pricing for Autonomous Transportation. CoRR abs/2102.09132 (2021) - [i56]Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet:
Convolutional Normalizing Flows for Deep Gaussian Processes. CoRR abs/2104.08472 (2021) - [i55]Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Value-at-Risk Optimization with Gaussian Processes. CoRR abs/2105.06126 (2021) - [i54]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab S. Mirrokni:
Bidding and Pricing in Budget and ROI Constrained Markets. CoRR abs/2107.07725 (2021) - [i53]Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet:
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization. CoRR abs/2107.14465 (2021) - [i52]Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Differentially Private Federated Bayesian Optimization with Distributed Exploration. CoRR abs/2110.14153 (2021) - [i51]Tien Mai, Patrick Jaillet:
Robust Entropy-regularized Markov Decision Processes. CoRR abs/2112.15364 (2021) - 2020
- [j54]Julia Gaudio, Patrick Jaillet:
An improved lower bound for the Traveling Salesman constant. Oper. Res. Lett. 48(1): 67-70 (2020) - [j53]Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet:
Estimating Travel Time Distributions by Bayesian Network Inference. IEEE Trans. Intell. Transp. Syst. 21(5): 1867-1876 (2020) - [c62]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS 2020: 771-779 - [c61]Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache:
Optimizing Onsite Food Services at Scale. SIGSPATIAL/GIS 2020: 618-629 - [c60]Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho:
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. ICML 2020: 2291-2301 - [c59]Trong Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet:
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion. ICML 2020: 4282-4292 - [c58]Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Federated Bayesian Optimization via Thompson Sampling. NeurIPS 2020 - [c57]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
No-regret Learning in Price Competitions under Consumer Reference Effects. NeurIPS 2020 - [c56]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Variational Bayesian Unlearning. NeurIPS 2020 - [i50]Zhongxiang Dai, Yizhou Chen, Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho:
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. CoRR abs/2006.16679 (2020) - [i49]Tien Mai, Patrick Jaillet:
A Relation Analysis of Markov Decision Process Frameworks. CoRR abs/2008.07820 (2020) - [i48]Youssef M. Aboutaleb, Moshe E. Ben-Akiva, Patrick Jaillet:
Learning Structure in Nested Logit Models. CoRR abs/2008.08048 (2020) - [i47]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR abs/2009.06051 (2020) - [i46]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. CoRR abs/2009.07925 (2020) - [i45]Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet:
Federated Bayesian Optimization via Thompson Sampling. CoRR abs/2010.10154 (2020) - [i44]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
Variational Bayesian Unlearning. CoRR abs/2010.12883 (2020) - [i43]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
No-regret Learning in Price Competitions under Consumer Reference Effects. CoRR abs/2011.03653 (2020) - [i42]Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet:
Top-k Ranking Bayesian Optimization. CoRR abs/2012.10688 (2020) - [i41]Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
An Information-Theoretic Framework for Unifying Active Learning Problems. CoRR abs/2012.10695 (2020)
2010 – 2019
- 2019
- [j52]Dimitris Bertsimas, Patrick Jaillet, Nikita Korolko:
The K-server problem via a modern optimization lens. Eur. J. Oper. Res. 276(1): 65-78 (2019) - [j51]Thibaut Vidal, Daniel Gribel, Patrick Jaillet:
Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS J. Optim. 1(1): 71-90 (2019) - [j50]Dimitris Bertsimas, Patrick Jaillet, Sébastien Martin:
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications. Oper. Res. 67(1): 143-162 (2019) - [j49]Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
Travel Time Estimation in the Age of Big Data. Oper. Res. 67(2): 498-515 (2019) - [j48]Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi:
On Matching and Thickness in Heterogeneous Dynamic Markets. Oper. Res. 67(4): 927-949 (2019) - [j47]Julia Gaudio, Saurabh Amin, Patrick Jaillet:
Exponential convergence rates for stochastically ordered Markov processes under perturbation. Syst. Control. Lett. 133 (2019) - [c55]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS 2019: 528-538 - [c54]Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley:
Edge Weighted Online Windowed Matching. EC 2019: 729-742 - [c53]Jinhong K. Guo, Alexander Karlovitz, Patrick Jaillet, Martin O. Hofmann:
The Price of Anarchy: Centralized versus Distributed Resource Allocation Trade-offs. ICAART (1) 2019: 146-153 - [c52]Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet:
Bayesian Optimization Meets Bayesian Optimal Stopping. ICML 2019: 1496-1506 - [c51]Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet:
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. IJCAI 2019: 5864-5870 - [c50]Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. IJCNN 2019: 1-8 - [c49]Haibin Yu, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Zhongxiang Dai:
Implicit Posterior Variational Inference for Deep Gaussian Processes. NeurIPS 2019: 14475-14486 - [i40]Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
The Price of Interpretability. CoRR abs/1907.03419 (2019) - [i39]Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
Optimal Explanations of Linear Models. CoRR abs/1907.04669 (2019) - [i38]Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet:
Implicit Posterior Variational Inference for Deep Gaussian Processes. CoRR abs/1910.11998 (2019) - [i37]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
Incentive-aware Contextual Pricing with Non-parametric Market Noise. CoRR abs/1911.03508 (2019) - [i36]Tien Mai, Kennard Chan, Patrick Jaillet:
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. CoRR abs/1911.06928 (2019) - [i35]Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet:
Inverse Reinforcement Learning with Missing Data. CoRR abs/1911.06930 (2019) - [i34]Supriyo Ghosh, Patrick Jaillet:
An Iterative Security Game for Computing Robust and Adaptive Network Flows. CoRR abs/1911.10505 (2019) - [i33]Tien Mai, Patrick Jaillet:
Robust Multi-product Pricing under General Extreme Value Models. CoRR abs/1912.09552 (2019) - 2018
- [j46]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. 261: 71-112 (2018) - [j45]Virgile Galle, Cynthia Barnhart, Patrick Jaillet:
A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations. Eur. J. Oper. Res. 267(2): 467-477 (2018) - [j44]Virgile Galle, Cynthia Barnhart, Patrick Jaillet:
Yard Crane Scheduling for container storage, retrieval, and relocation. Eur. J. Oper. Res. 271(1): 288-316 (2018) - [j43]Arthur Flajolet, Sebastien Blandin, Patrick Jaillet:
Robust Adaptive Routing Under Uncertainty. Oper. Res. 66(1): 210-229 (2018) - [j42]Dawsen Hwang, Patrick Jaillet:
Online scheduling with multi-state machines. Networks 71(3): 209-251 (2018) - [j41]Ali Oran, Patrick Jaillet:
An Integrated Likelihood Formulation for Characterizing the Proximity of Position Measurements to Road Segments. IEEE Trans. Intell. Transp. Syst. 19(6): 1839-1854 (2018) - [j40]Virgile Galle, Vahideh H. Manshadi, S. Borjian Boroujeni, Cynthia Barnhart, Patrick Jaillet:
The Stochastic Container Relocation Problem. Transp. Sci. 52(5): 1035-1058 (2018) - [c48]Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet:
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CDC 2018: 2728-2734 - [i32]Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Amin Saberi:
Maximizing Efficiency in Dynamic Matching Markets. CoRR abs/1803.01285 (2018) - [i31]Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet:
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CoRR abs/1803.08415 (2018) - [i30]Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley:
Maximum Weight Online Matching with Deadlines. CoRR abs/1808.03526 (2018) - [i29]Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi:
Online Resource Allocation under Partially Predictable Demand. CoRR abs/1810.00447 (2018) - [i28]Mathieu Dahan, Saurabh Amin, Patrick Jaillet:
Probability Distributions on Partially Ordered Sets and Network Security Games. CoRR abs/1811.08516 (2018) - 2017
- [j39]Elisabeth Zehendner, Dominique Feillet, Patrick Jaillet:
An algorithm with performance guarantee for the Online Container Relocation Problem. Eur. J. Oper. Res. 259(1): 48-62 (2017) - [j38]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. J. Artif. Intell. Res. 58: 387-430 (2017) - [j37]Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet:
Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. 59: 229-264 (2017) - [c47]Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet:
Online Repositioning in Bike Sharing Systems. ICAPS 2017: 200-208 - [c46]Michel X. Goemans, Swati Gupta, Patrick Jaillet:
Discrete Newton's Algorithm for Parametric Submodular Function Minimization. IPCO 2017: 212-227 - [c45]Anatolii Prokhorchuk, Vishnu Prasad Payyada, Justin Dauwels, Patrick Jaillet:
Estimating travel time distributions using copula graphical lasso. ITSC 2017: 1-6 - [c44]Jian Wen, Jinhua Zhao, Patrick Jaillet:
Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. ITSC 2017: 220-225 - [c43]Arthur Flajolet, Patrick Jaillet:
Real-Time Bidding with Side Information. NIPS 2017: 5162-5172 - [c42]Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet:
Online Learning with a Hint. NIPS 2017: 5299-5308 - [c41]Kelvin Lee, Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet:
Estimation of travel time from taxi GPS data. SSCI 2017: 1-6 - [i27]Virgile Galle, Setareh Borjian Boroujeni, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet:
The Stochastic Container Relocation Problem. CoRR abs/1703.04769 (2017) - [i26]Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. CoRR abs/1711.00221 (2017) - 2016
- [j36]Antoine Legrain, Patrick Jaillet:
A stochastic algorithm for online bipartite resource allocation problems. Comput. Oper. Res. 75: 28-37 (2016) - [j35]Patrick Jaillet, Jin Qi, Melvyn Sim:
Routing Optimization Under Uncertainty. Oper. Res. 64(1): 186-200 (2016) - [j34]Virgile Galle, S. Borjian Boroujeni, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet:
An average-case asymptotic analysis of the Container Relocation Problem. Oper. Res. Lett. 44(6): 723-728 (2016) - [j33]Thibaut Vidal, Patrick Jaillet, Nelson Maculan:
A Decomposition Algorithm for Nested Resource Allocation Problems. SIAM J. Optim. 26(2): 1322-1340 (2016) - [j32]Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. 17(7): 1816-1825 (2016) - [j31]Nikola Mitrovic, Aditya Narayanan, Muhammad Tayyab Asif, Ansar Rauf, Justin Dauwels, Patrick Jaillet:
On Centralized and Decentralized Architectures for Traffic Applications. IEEE Trans. Intell. Transp. Syst. 17(7): 1988-1997 (2016) - [j30]Yossiri Adulyasak, Patrick Jaillet:
Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines. Transp. Sci. 50(2): 608-626 (2016) - [c40]Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet:
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI 2016: 1860-1866 - [c39]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI 2016: 3271-3277 - [c38]Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi:
On Matching and Thickness in Heterogeneous Dynamic Markets. EC 2016: 765 - [i25]Swati Gupta, Michel X. Goemans, Patrick Jaillet:
Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. CoRR abs/1603.00522 (2016) - [i24]Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi:
On Matching and Thickness in Heterogeneous Dynamic Markets. CoRR abs/1606.03626 (2016) - [i23]Chong Yang Goh, Patrick Jaillet:
Structured Prediction by Least Squares Estimated Conditional Risk Minimization. CoRR abs/1611.07096 (2016) - 2015
- [j29]Andrew Mastin, Patrick Jaillet:
Average-Case Performance of Rollout Algorithms for Knapsack Problems. J. Optim. Theory Appl. 165(3): 964-984 (2015) - [j28]Jie Chen, Kian Hsiang Low, Yujian Yao, Patrick Jaillet:
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. IEEE Trans Autom. Sci. Eng. 12(3): 901-921 (2015) - [j27]Muhammad Tayyab Asif, Kannan Srinivasan, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Near-Lossless Compression for Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. 16(4): 1817-1826 (2015) - [j26]Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. IEEE Trans. Intell. Transp. Syst. 16(5): 2949-2954 (2015) - [c37]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. AAAI Workshop: AI for Cities 2015 - [c36]Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet:
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. AAAI 2015: 2821-2827 - [c35]Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet:
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty. AAAI 2015: 3454-3460 - [c34]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. ICAPS 2015: 79-87 - [c33]Andrew Mastin, Patrick Jaillet, Sang Chin:
Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. ISAAC 2015: 491-501 - [c32]Aditya Narayanan, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Travel Time Estimation Using Speed Predictions. ITSC 2015: 2256-2261 - [c31]Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet:
Inverse Reinforcement Learning with Locally Consistent Reward Functions. NIPS 2015: 1747-1755 - [c30]Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. SOCS 2015: 230-231 - [c29]Maokai Lin, Patrick Jaillet:
On the Quickest Flow Problem in Dynamic Networks - A Parametric Min-Cost Flow Approach. SODA 2015: 1343-1356 - [i22]Setareh Borjian, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet:
Managing Relocation and Delay in Container Terminals with Flexible Service Policies. CoRR abs/1503.01535 (2015) - [i21]Setareh Borjian, Virgile Galle, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet:
Container Relocation Problem: Approximation, Asymptotic, and Incomplete Information. CoRR abs/1505.04229 (2015) - [i20]Arthur Flajolet, Patrick Jaillet:
Low regret bounds for Bandits with Knapsacks. CoRR abs/1510.01800 (2015) - [i19]Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet:
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR abs/1511.06890 (2015) - 2014
- [j25]Patrick Jaillet, Xin Lu:
Online Stochastic Matching: New Algorithms with Better Bounds. Math. Oper. Res. 39(3): 624-646 (2014) - [j24]Patrick Jaillet, Xin Lu:
Online traveling salesman problems with rejection options. Networks 64(2): 84-95 (2014) - [j23]Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet:
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. IEEE Trans. Intell. Transp. Syst. 15(2): 794-804 (2014) - [c28]Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Decentralized Stochastic Planning with Anonymity in Interactions. AAAI 2014: 2505-2512 - [c27]Ruofei Ouyang, Kian Hsiang Low, Jie Chen, Patrick Jaillet:
Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. AAMAS 2014: 573-580 - [c26]Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet:
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS 2014: 167-181 - [c25]Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV 2014: 541-546 - [c24]Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV 2014: 547-552 - [c23]Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Compressed prediction of large-scale urban traffic. ICASSP 2014: 5984-5988 - [c22]Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli:
Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes. ICML 2014: 739-747 - [c21]Menoth Mohan Dhanya, Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet:
Wavelets on graphs with application to transportation networks. ITSC 2014: 1707-1712 - [c20]Rauf Ansar, Paron Sarampakhul, Soham Ghosh, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet:
Evaluation of smart-phone performance for real-time traffic prediction. ITSC 2014: 3010-3015 - [c19]Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli:
Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. ECML/PKDD (3) 2014: 494-498 - [i18]Andrew Mastin, Patrick Jaillet, Sang Chin:
Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. CoRR abs/1401.7043 (2014) - [i17]Thibaut Vidal, Patrick Jaillet, Nelson Maculan:
A Decomposition Algorithm for Nested Resource Allocation Problems. CoRR abs/1404.6694 (2014) - [i16]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR abs/1408.2046 (2014) - [i15]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR abs/1408.2060 (2014) - [i14]Arthur Flajolet, Sebastien Blandin, Patrick Jaillet:
Robust Adaptive Routing Under Uncertainty. CoRR abs/1408.3374 (2014) - [i13]Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet:
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. CoRR abs/1411.4510 (2014) - [i12]Arthur Flajolet, Patrick Jaillet:
No-Regret Learnability for Piecewise Linear Losses. CoRR abs/1411.5649 (2014) - [i11]Dawsen Hwang, Patrick Jaillet, Zhengyuan Zhou:
Distributed Multi-Depot Routing without Communications. CoRR abs/1412.2123 (2014) - 2013
- [c18]Muhammad Tayyab Asif, Kannan Srinivasan, Justin Dauwels, Patrick Jaillet:
Data compression techniques for urban traffic data. CIVTS 2013: 44-49 - [c17]Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Patrick Jaillet:
Low-dimensional models for missing data imputation in road networks. ICASSP 2013: 3527-3531 - [c16]Ali Oran, Patrick Jaillet:
An HMM-based map matching method with cumulative proximity-weight formulation. ICCVE 2013: 480-485 - [c15]Patrick Jaillet, José A. Soto, Rico Zenklusen:
Advances on Matroid Secretary Problems: Free Order Model and Laminar Case. IPCO 2013: 254-265 - [c14]Gaurav Gopi, Justin Dauwels, Muhammad Tayyab Asif, Sridhar Ashwin, Nikola Mitrovic, Umer Rasheed, Patrick Jaillet:
Bayesian Support Vector Regression for traffic speed prediction with error bars. ITSC 2013: 136-141 - [c13]Nikola Mitrovic, Muhammad Tayyab Asif, Umer Rasheed, Justin Dauwels, Patrick Jaillet:
CUR decomposition for compression and compressed sensing of large-scale traffic data. ITSC 2013: 1475-1480 - [c12]Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet:
Regret based Robust Solutions for Uncertain Markov Decision Processes. NIPS 2013: 881-889 - [c11]Itai Ashlagi, Patrick Jaillet, Vahideh H. Manshadi:
Kidney exchange in dynamic sparse heterogenous pools. EC 2013: 25-26 - [c10]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. UAI 2013 - [c9]Ali Oran, Patrick Jaillet:
A precise proximity-weight formulation for map matching algorithms. WPNC 2013: 1-6 - [i10]Itai Ashlagi, Patrick Jaillet, Vahideh H. Manshadi:
Kidney Exchange in Dynamic Sparse Heterogenous Pools. CoRR abs/1301.3509 (2013) - [i9]Andrew Mastin, Patrick Jaillet:
Average-Case Performance of Rollout Algorithms for Knapsack Problems. CoRR abs/1301.4529 (2013) - [i8]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR abs/1305.5826 (2013) - [i7]Andrew Mastin, Patrick Jaillet:
Greedy Online Bipartite Matching on Random Graphs. CoRR abs/1307.2536 (2013) - [i6]Thomas Holleczek, Liang Yu, Joseph K. Lee, Oliver Senn, Kristian Kloeckl, Carlo Ratti, Patrick Jaillet:
Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks. CoRR abs/1308.6705 (2013) - 2012
- [c8]Andrew Mastin, Patrick Jaillet:
Loss bounds for uncertain transition probabilities in Markov decision processes. CDC 2012: 6708-6715 - [c7]Ali Oran, Kiat Chuan Tan, Boon Hooi Ooi, Melvyn Sim, Patrick Jaillet:
Location and Routing Models for Emergency Response Plans with Priorities. Future Security 2012: 129-140 - [c6]Jiangbo Yu, Kian Hsiang Low, Ali Oran, Patrick Jaillet:
Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents. IAT 2012: 478-485 - [c5]Chong Yang Goh, Justin Dauwels, Nikola Mitrovic, Muhammad Tayyab Asif, Ali Oran, Patrick Jaillet:
Online map-matching based on Hidden Markov model for real-time traffic sensing applications. ITSC 2012: 776-781 - [c4]Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet:
Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. ITSC 2012: 983-988 - [c3]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. UAI 2012: 163-173 - [i5]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR abs/1206.6230 (2012) - [i4]Patrick Jaillet, José A. Soto, Rico Zenklusen:
Advances on Matroid Secretary Problems: Free Order Model and Laminar Case. CoRR abs/1207.1333 (2012) - [i3]Patrick Jaillet, Xin Lu:
Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems. CoRR abs/1208.2596 (2012) - 2011
- [j22]Patrick Jaillet, Xin Lu:
Online traveling salesman problems with service flexibility. Networks 58(2): 137-146 (2011) - [c2]Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet:
The Machine Learning and Traveling Repairman Problem. ADT 2011: 262-276 - [i2]Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet:
Machine Learning and the Traveling Repairman. CoRR abs/1104.5061 (2011) - 2010
- [j21]Zied Bouyahia, Monia Bellalouna, Patrick Jaillet, Khaled Ghédira:
A priori parallel machines scheduling. Comput. Ind. Eng. 58(3): 488-500 (2010) - [j20]Patrick Jaillet, Michael R. Wagner:
Almost sure asymptotic optimality for online routing and machine scheduling problems. Networks 55(1): 2-12 (2010)
2000 – 2009
- 2009
- [c1]Zied Bouyahia, Monia Bellalouna, Khaled Ghédira, Patrick Jaillet:
A Priori Strategies for the Probabilistic Total Weighted Flowtime on Parallel Identical Machines Problem. FCS 2009: 145-151 - [i1]Patrick Jaillet, Xin Lu:
Online Traveling Salesman Problems with Flexibility. Models and Algorithms for Optimization in Logistics 2009 - 2008
- [j19]Patrick Jaillet, Michael R. Wagner:
Generalized Online Routing: New Competitive Ratios, Resource Augmentation, and Asymptotic Analyses. Oper. Res. 56(3): 745-757 (2008) - 2007
- [j18]Miguel Andres Figliozzi, Hani S. Mahmassani, Patrick Jaillet:
Pricing in Dynamic Vehicle Routing Problems. Transp. Sci. 41(3): 302-318 (2007) - 2006
- [j17]Patrick Jaillet, Michael R. Wagner:
Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios. Transp. Sci. 40(2): 200-210 (2006) - 2004
- [j16]Patrick Jaillet, Ehud I. Ronn, Stathis Tompaidis:
Valuation of Commodity-Based Swing Options. Manag. Sci. 50(7): 909-921 (2004) - [j15]Jian Yang, Patrick Jaillet, Hani S. Mahmassani:
Real-Time Multivehicle Truckload Pickup and Delivery Problems. Transp. Sci. 38(2): 135-148 (2004) - 2002
- [j14]Patrick Jaillet, Matthew Stafford, Shmuel Gal:
Note: Online Searching / on the Optimality of the Geometric Sequences for the m Ray Search Online Searching. Oper. Res. 50(4): 744-745 (2002) - [j13]Patrick Jaillet, Jonathan F. Bard, Liu Huang, Moshe Dror:
Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework. Transp. Sci. 36(3): 292-300 (2002) - 2001
- [j12]Patrick Jaillet, Matthew Stafford:
Online Searching. Oper. Res. 49(4): 501-515 (2001)
1990 – 1999
- 1999
- [r1]Joseph R. Barr, Peter R. Turner, Patrick Jaillet, Vidyadhar G. Kulkarni, Lawrence M. Leemis:
Discrete Probability. Handbook of Discrete and Combinatorial Mathematics 1999 - 1998
- [j11]Jonathan F. Bard, Liu Huang, Patrick Jaillet, Moshe Dror:
A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities. Transp. Sci. 32(2): 189-203 (1998) - 1997
- [j10]Patrick Jaillet:
TSS Dissertation Abstracts - Abstracts for the 1996 Transportation Science Section Dissertation Prize Competition. Transp. Sci. 31(1): 83-94 (1997) - 1995
- [j9]Patrick Jaillet:
On properties of geometric random problems in the plane. Ann. Oper. Res. 61(1): 1-20 (1995) - 1994
- [j8]Olivier Goldschmidt, Patrick Jaillet, Richard Lasota:
On reliability of graphs with node failures. Networks 24(4): 251-259 (1994) - [j7]Patrick Jaillet, David Bernstein, John D. Leonard II, Dean Taylor:
Bibliographic Section. Transp. Sci. 28(4): 354-361 (1994) - 1993
- [j6]Patrick Jaillet:
Analysis of Probabilistic Combinatorial Optimization Problems in Euclidean Spaces. Math. Oper. Res. 18(1): 51-70 (1993) - [j5]Patrick Jaillet:
Rate of convergence for the Euclidean minimum spanning tree limit law. Oper. Res. Lett. 14(2): 73-78 (1993) - 1992
- [j4]Patrick Jaillet:
Rates of Convergence for Quasi-Additive Smooth Euclidean Functionals and Application to Combinatorial Optimization Problems. Math. Oper. Res. 17(4): 964-980 (1992) - [j3]Patrick Jaillet:
Shortest path problems with node failures. Networks 22(6): 589-605 (1992) - 1990
- [j2]Dimitris J. Bertsimas, Patrick Jaillet, Amedeo R. Odoni:
A Priori Optimization. Oper. Res. 38(6): 1019-1033 (1990)
1980 – 1989
- 1988
- [j1]Patrick Jaillet:
A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of the Customers Are Visited. Oper. Res. 36(6): 929-936 (1988)
Coauthor Index
Kian Hsiang Low
aka: Bryan Kian Hsiang Low
aka: Bryan Kian Hsiang Low
[c96] [c95] [c94] [c93] [i89] [i88] [i87] [i85] [c86] [c85] [c84] [c80] [c79] [c78] [i74] [i73] [i71] [c76] [c74] [c73] [i67] [i64] [i63] [i60] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [i56] [i55] [i53] [i52] [c60] [c59] [c58] [c56] [i50] [i45] [i44] [i42] [i41] [c52] [c50] [c49] [i38] [i35] [i26] [c40] [j28] [c36] [c31] [i19] [c27] [c26] [c22] [c19] [i16] [i15] [i13] [c10] [i8] [c6] [c3] [i5]
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