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2020 – today
- 2024
[j12]Ruohan Zhan
, Zhimei Ren, Susan Athey, Zhengyuan Zhou:
Policy Learning with Adaptively Collected Data. Manag. Sci. 70(8): 5270-5297 (2024)- [j11]Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens:
Optimal Experimental Design for Staggered Rollouts. Manag. Sci. 70(8): 5317-5336 (2024) - [j10]Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei:
CAREER: A Foundation Model for Labor Sequence Data. Trans. Mach. Learn. Res. 2024 (2024) - [c17]Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey:
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. AISTATS 2024: 2476-2484 - [i33]Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill:
Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt. CoRR abs/2405.04636 (2024) - [i32]Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey:
LABOR-LLM: Language-Based Occupational Representations with Large Language Models. CoRR abs/2406.17972 (2024) - [i31]Keyon Vafa, Susan Athey, David M. Blei:
Estimating Wage Disparities Using Foundation Models. CoRR abs/2409.09894 (2024) - [i30]Aldo Gael Carranza, Susan Athey:
Robust Offline Policy Learning with Observational Data from Multiple Sources. CoRR abs/2410.08537 (2024) - 2023
- [j9]Zhengyuan Zhou, Susan Athey, Stefan Wager:
Offline Multi-Action Policy Learning: Generalization and Optimization. Oper. Res. 71(1): 148-183 (2023) - [c16]Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey:
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. AISTATS 2023: 7190-7212 - [c15]Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill:
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS 2023 - [i29]Tianyu Du, Ayush Kanodia, Susan Athey:
Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python. CoRR abs/2304.01906 (2023) - [i28]Aldo Gael Carranza, Susan Athey:
Federated Offline Policy Learning with Heterogeneous Observational Data. CoRR abs/2305.12407 (2023) - [i27]Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill:
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR abs/2307.02108 (2023) - [i26]Susan Athey, Niall Keleher, Jann Spiess:
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal. CoRR abs/2310.08672 (2023) - 2022
- [j8]Peng Cui, Susan Athey:
Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. 4(2): 110-115 (2022) - [i25]Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei:
Learning Transferrable Representations of Career Trajectories for Economic Prediction. CoRR abs/2202.08370 (2022) - [i24]Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey:
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle. CoRR abs/2203.16668 (2022) - [i23]Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams:
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning. CoRR abs/2211.12004 (2022) - [i22]Molly Offer-Westort, Leah R. Rosenzweig, Susan Athey:
Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa. CoRR abs/2212.13638 (2022) - 2021
- [j7]Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager:
Local Linear Forests. J. Comput. Graph. Stat. 30(2): 503-517 (2021) - [c14]Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey:
Tractable contextual bandits beyond realizability. AISTATS 2021: 1423-1431 - [c13]Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey:
Adapting to misspecification in contextual bandits with offline regression oracles. ICML 2021: 5805-5814 - [c12]Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey:
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. KDD 2021: 2125-2135 - [i21]Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey:
Adapting to misspecification in contextual bandits with offline regression oracles. CoRR abs/2102.13240 (2021) - [i20]Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou:
Policy Learning with Adaptively Collected Data. CoRR abs/2105.02344 (2021) - [i19]Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey:
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. CoRR abs/2106.02029 (2021) - [i18]Sanath Kumar Krishnamurthy, Susan Athey:
Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles. CoRR abs/2106.06483 (2021) - [i17]Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey:
Federated Causal Inference in Heterogeneous Observational Data. CoRR abs/2107.11732 (2021) - 2020
- [j6]Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb:
Peaches, lemons, and cookies: Designing auction markets with dispersed information. Games Econ. Behav. 124: 454-477 (2020) - [j5]Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager:
policytree: Policy learning via doubly robust empirical welfare maximization over trees. J. Open Source Softw. 5(55): 2232 (2020) - [c11]Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI 2020: 4485-4492 - [i16]Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR abs/2001.11713 (2020) - [i15]Sanath Kumar Krishnamurthy, Susan Athey:
Survey Bandits with Regret Guarantees. CoRR abs/2002.09814 (2020) - [i14]Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey:
Tractable contextual bandits beyond realizability. CoRR abs/2010.13013 (2020)
2010 – 2019
- 2019
- [c10]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. AAAI 2019: 3445-3453 - [i13]Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey:
Counterfactual Inference for Consumer Choice Across Many Product Categories. CoRR abs/1906.02635 (2019) - [i12]Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager:
Sufficient Representations for Categorical Variables. CoRR abs/1908.09874 (2019) - [i11]Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey:
Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR abs/1911.02768 (2019) - 2018
- [j4]Susan Athey, Emilio Calvano, Joshua S. Gans:
The Impact of Consumer Multi-homing on Advertising Markets and Media Competition. Manag. Sci. 64(4): 1574-1590 (2018) - [c9]Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li:
Stable Prediction across Unknown Environments. KDD 2018: 1617-1626 - [c8]Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Learning in Games with Lossy Feedback. NeurIPS 2018: 5140-5150 - [i10]Susan Athey, David M. Blei, Robert Donnelly, Francisco J. R. Ruiz, Tobias Schmidt:
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. CoRR abs/1801.07826 (2018) - [i9]Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction across Unknown Environments. CoRR abs/1806.06270 (2018) - [i8]Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager:
Local Linear Forests. CoRR abs/1807.11408 (2018) - [i7]Susan Athey, Guido Imbens:
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. CoRR abs/1808.05293 (2018) - [i6]Zhengyuan Zhou, Susan Athey, Stefan Wager:
Offline Multi-Action Policy Learning: Generalization and Optimization. CoRR abs/1810.04778 (2018) - [i5]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. CoRR abs/1812.06227 (2018) - 2017
- [c7]Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei:
Structured Embedding Models for Grouped Data. NIPS 2017: 251-261 - [c6]Li-Ping Liu, Francisco J. R. Ruiz, Susan Athey, David M. Blei:
Context Selection for Embedding Models. NIPS 2017: 4816-4825 - [i4]Susan Athey, Stefan Wager:
Efficient Policy Learning. CoRR abs/1702.02896 (2017) - [i3]Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei:
Structured Embedding Models for Grouped Data. CoRR abs/1709.10367 (2017) - [i2]Francisco J. R. Ruiz, Susan Athey, David M. Blei:
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. CoRR abs/1711.03560 (2017) - [i1]Maria Dimakopoulou, Susan Athey, Guido Imbens:
Estimation Considerations in Contextual Bandits. CoRR abs/1711.07077 (2017) - 2015
- [c5]Susan Athey:
Machine Learning and Causal Inference for Policy Evaluation. KDD 2015: 5-6 - 2013
- [c4]Ittai Abraham, Susan Athey, Moshe Babaioff, Michael Grubb:
Peaches, lemons, and cookies: designing auction markets with dispersed information. EC 2013: 7-8 - 2011
- [j3]Susan Athey:
Use of the World Wide Web by the Portuguese Accommodation Industry. J. Inf. Technol. Tour. 13(3): 191-204 (2011)
2000 – 2009
- 2009
- [c3]Susan Athey:
Designing markets: economics, computer science and the real world. TARK 2009: 1 - 2007
- [c2]Julie Tomlin, John A. Hoxmeier, Susan Athey:
Programming Standards for the Information Systems Curriculum. AMCIS 2007: 248 - 2000
- [j2]Susan Athey, John Plotnicki:
An Evaluation of Research Productivity in Academic IT. Commun. Assoc. Inf. Syst. 3: 7 (2000) - [c1]Susan Athey, John A. Hoxmeier:
Where have all the women gone? IRMA Conference 2000: 969-970
1990 – 1999
- 1990
- [j1]Susan Athey:
A Comparison of the Fortune 500 and AACSB Accredited Universities' Software Copying Policies. J. Inf. Syst. Educ. 2(4): 2-11 (1990)
Coauthor Index
aka: Sanath Kumar Krishnamurthy
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