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ORCIDHamsa Bastani
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- affiliation: University of Pennsylvania, Wharton School, PA, USA
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Journal Articles
- 2026
[j13]Hamsa Bastani
, Osbert Bastani, Wichinpong Park Sinchaisri:
Improving Human Sequential Decision Making with Reinforcement Learning. Manag. Sci. 72(1): 733-755 (2026)- 2025
- [j12]Kan Xu, Hamsa Bastani:
Multitask Learning and Bandits via Robust Statistics. Manag. Sci. 71(9): 7752-7773 (2025) - [j11]Pia Ramchandani, Hamsa Bastani, Emily Wyatt:
Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning. Manuf. Serv. Oper. Manag. 27(3): 700-719 (2025) - 2022
- [j10]Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Jon Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras:
Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. INFORMS J. Appl. Anal. 52(5): 398-411 (2022) - [j9]Hamsa Bastani, David Simchi-Levi, Ruihao Zhu:
Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. 68(3): 1865-1881 (2022) - [j8]Arielle Anderer, Hamsa Bastani, John Silberholz:
Adaptive Clinical Trial Designs with Surrogates: When Should We Bother? Manag. Sci. 68(3): 1982-2002 (2022) - [j7]Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi:
Learning Personalized Product Recommendations with Customer Disengagement. Manuf. Serv. Oper. Manag. 24(4): 2010-2028 (2022) - [j6]So-Min Cheong, Kris Sankaran, Hamsa Bastani:
Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. 12(5) (2022) - 2021
- [j5]Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi:
Mostly Exploration-Free Algorithms for Contextual Bandits. Manag. Sci. 67(3): 1329-1349 (2021) - [j4]Hamsa Bastani:
Predicting with Proxies: Transfer Learning in High Dimension. Manag. Sci. 67(5): 2964-2984 (2021) - [j3]Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras:
Efficient and targeted COVID-19 border testing via reinforcement learning. Nat. 599(7883): 108-113 (2021) - 2020
- [j2]Hamsa Bastani, Mohsen Bayati:
Online Decision Making with High-Dimensional Covariates. Oper. Res. 68(1): 276-294 (2020) - 2019
- [j1]Hamsa Bastani, Joel Goh, Mohsen Bayati:
Evidence of Upcoding in Pay-for-Performance Programs. Manag. Sci. 65(3): 1042-1060 (2019)
Conference and Workshop Papers
- 2025
- [c6]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Stochastic Online Conformal Prediction with Semi-Bandit Feedback. ICML 2025 - 2024
- [c5]Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani:
Stochastic Bandits with ReLU Neural Networks. ICML 2024: 54866-54887 - [c4]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Rethinking Fairness for Human-AI Collaboration (Extended Abstract). ITCS 2024: 52:1-52:1 - [c3]Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani:
Generative Adversarial Model-Based Optimization via Source Critic Regularization. NeurIPS 2024 - 2023
- [c2]Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani:
Uniformly Conservative Exploration in Reinforcement Learning. AISTATS 2023: 10856-10870 - 2021
- [c1]Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani:
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. ICML 2021: 11603-11612
Informal and Other Publications
- 2026
- [i24]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Are AI Capabilities Increasing Exponentially? A Competing Hypothesis. CoRR abs/2602.04836 (2026) - [i23]Hamsa Bastani, Osbert Bastani, Bryce McLaughlin:
Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching. CoRR abs/2602.08892 (2026) - [i22]Xiaomeng Wang, Hamsa Bastani, Osbert Bastani, Zhimei Ren:
Learning to target with network interference. CoRR abs/2605.27794 (2026) - [i21]Hamsa Bastani, Osbert Bastani, Shihan Chen:
A Hierarchy of Policy Learning Problems. CoRR abs/2607.03385 (2026) - [i20]Angel Tsai-Hsuan Chung, Jatu Abdulai, Patrick Bayoh, Lawrence Sandi, Francis Smart, Hamsa Bastani, Osbert Bastani:
Improving Access to Essential Medicines via Decision-Aware Machine Learning. CoRR abs/2607.20542 (2026) - 2025
- [i19]Jackie Baek, Hamsa Bastani, Shihan Chen:
Hiring under Congestion and Algorithmic Monoculture: Value of Strategic Behavior. CoRR abs/2502.20063 (2025) - [i18]Hamsa Bastani, Osbert Bastani, Bryce McLaughlin:
Beating the Winner's Curse via Inference-Aware Policy Optimization. CoRR abs/2510.18161 (2025) - 2024
- [i17]Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani:
Generative Adversarial Bayesian Optimization for Surrogate Objectives. CoRR abs/2402.06532 (2024) - [i16]Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani:
Stochastic Bandits with ReLU Neural Networks. CoRR abs/2405.07331 (2024) - [i15]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Stochastic Online Conformal Prediction with Semi-Bandit Feedback. CoRR abs/2405.13268 (2024) - 2023
- [i14]Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban:
Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. CoRR abs/2306.06291 (2023) - [i13]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Rethinking Fairness for Human-AI Collaboration. CoRR abs/2310.03647 (2023) - 2022
- [i12]Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas J. Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu:
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR abs/2211.06516 (2022) - [i11]Tsai-Hsuan Chung, Vahid Rostami, Hamsa Bastani, Osbert Bastani:
Decision-Aware Learning for Optimizing Health Supply Chains. CoRR abs/2211.08507 (2022) - 2021
- [i10]Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani:
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. CoRR abs/2104.08928 (2021) - [i9]Hamsa Bastani, Osbert Bastani, Wichinpong Park Sinchaisri:
Improving Human Decision-Making with Machine Learning. CoRR abs/2108.08454 (2021) - [i8]Kan Xu, Hamsa Bastani, Osbert Bastani:
Robust Generalization of Quadratic Neural Networks via Function Identification. CoRR abs/2109.10935 (2021) - [i7]Wanqiao Xu, Kan Xu, Hamsa Bastani, Osbert Bastani:
Safely Bridging Offline and Online Reinforcement Learning. CoRR abs/2110.13060 (2021) - [i6]Kan Xu, Hamsa Bastani:
Learning Across Bandits in High Dimension via Robust Statistics. CoRR abs/2112.14233 (2021) - 2019
- [i5]Hamsa Bastani, David Simchi-Levi, Ruihao Zhu:
Meta Dynamic Pricing: Learning Across Experiments. CoRR abs/1902.10918 (2019) - 2018
- [i4]Hamsa Bastani:
Predicting with Proxies. CoRR abs/1812.11097 (2018) - 2017
- [i3]Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi:
Exploiting the Natural Exploration In Contextual Bandits. CoRR abs/1704.09011 (2017) - [i2]Osbert Bastani, Carolyn Kim, Hamsa Bastani:
Interpreting Blackbox Models via Model Extraction. CoRR abs/1705.08504 (2017) - [i1]Osbert Bastani, Carolyn Kim, Hamsa Bastani:
Interpretability via Model Extraction. CoRR abs/1706.09773 (2017)
Coauthor Index
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