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ORCIDDanial Dervovic
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2020 – today
- 2024
[j1]Zachary McBride Lazri
, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu:
A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Trans. Inf. Forensics Secur. 19: 7449-7464 (2024)- [c10]Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled:
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. ICML 2024 - [c9]Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni:
Are Logistic Models Really Interpretable? IJCAI 2024: 367-375 - [i19]Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu:
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. CoRR abs/2402.04375 (2024) - [i18]Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu:
Balancing Fairness and Accuracy in Data-Restricted Binary Classification. CoRR abs/2403.07724 (2024) - [i17]Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore:
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR abs/2403.09925 (2024) - [i16]Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan:
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR abs/2404.06162 (2024) - [i15]Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR abs/2406.01899 (2024) - [i14]Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni:
Are Logistic Models Really Interpretable? CoRR abs/2406.13427 (2024) - 2023
- [c8]Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni:
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. AIES 2023: 411-431 - [i13]Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni:
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. CoRR abs/2307.06941 (2023) - [i12]Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu:
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness. CoRR abs/2310.15097 (2023) - 2022
- [c7]Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni:
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI 2022: 9918-9925 - [c6]Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni:
Counterfactual Shapley Additive Explanations. FAccT 2022: 1054-1070 - [c5]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. ICAIF 2022: 497-505 - [i11]Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni:
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR abs/2203.08019 (2022) - [i10]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. CoRR abs/2209.14738 (2022) - [i9]Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni:
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. CoRR abs/2211.06360 (2022) - 2021
- [c4]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in streaming binary classification under limited inspection resources. ICAIF 2021: 36:1-36:9 - [c3]Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy:
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. IJCAI 2021: 4214-4220 - [i8]Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko:
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. CoRR abs/2105.12893 (2021) - [i7]Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy:
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. CoRR abs/2106.04944 (2021) - [i6]Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni:
Counterfactual Explanations for Arbitrary Regression Models. CoRR abs/2106.15212 (2021) - [i5]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR abs/2110.02403 (2021) - [i4]Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni:
Counterfactual Shapley Additive Explanations. CoRR abs/2110.14270 (2021) - 2020
- [b1]Danial Dervovic:
Quantum computation, Markov chains and combinatorial optimisation. University College London (University of London), UK, 2020 - [c2]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch:
Get real: realism metrics for robust limit order book market simulations. ICAIF 2020: 2:1-2:8 - [c1]Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso:
Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF 2020: 44:1-44:8
2010 – 2019
- 2019
- [i3]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR abs/1912.04941 (2019) - 2018
- [i2]Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig:
Quantum linear systems algorithms: a primer. CoRR abs/1802.08227 (2018) - [i1]Danial Dervovic, Avinash Mocherla, Simone Severini:
Constructing graphs with limited resources. CoRR abs/1802.09844 (2018)
Coauthor Index
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