Exploiting the Natural Exploration In Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (CoRR, 2017)

Interpreting Blackbox Models via Model Extraction. - Osbert Bastani; Carolyn Kim; Hamsa Bastani (CoRR, 2017)

Interpretability via Model Extraction. - Osbert Bastani; Carolyn Kim; Hamsa Bastani (CoRR, 2017)

Predicting with Proxies. - Hamsa Bastani (CoRR, 2018)

Meta Dynamic Pricing: Learning Across Experiments. - Hamsa Bastani; David Simchi-Levi; Ruihao Zhu (CoRR, 2019)

Evidence of Upcoding in Pay-for-Performance Programs. - Hamsa Bastani; Joel Goh; Mohsen Bayati (Manag. Sci., 2019)

Online Decision Making with High-Dimensional Covariates. - Hamsa Bastani; Mohsen Bayati (Oper. Res., 2020)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. - Kan Xu; Xuanyi Zhao; Hamsa Bastani; Osbert Bastani (ICML, 2021)

Improving Human Decision-Making with Machine Learning. - Hamsa Bastani; Osbert Bastani; Wichinpong Park Sinchaisri (CoRR, 2021)

Robust Generalization of Quadratic Neural Networks via Function Identification. - Kan Xu; Hamsa Bastani; Osbert Bastani (CoRR, 2021)

Safely Bridging Offline and Online Reinforcement Learning. - Wanqiao Xu; Kan Xu; Hamsa Bastani; Osbert Bastani (CoRR, 2021)

Learning Across Bandits in High Dimension via Robust Statistics. - Kan Xu; Hamsa Bastani (CoRR, 2021)

Predicting with Proxies: Transfer Learning in High Dimension. - Hamsa Bastani (Manag. Sci., 2021)

Mostly Exploration-Free Algorithms for Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (Manag. Sci., 2021)

Efficient and targeted COVID-19 border testing via reinforcement learning. - Hamsa Bastani; Kimon Drakopoulos; Vishal Gupta 004; Ioannis Vlachogiannis; Christos Hadjichristodoulou; Pagona Lagiou; Gkikas Magiorkinis; Dimitrios Paraskevis; Sotirios Tsiodras (Nat., 2021)

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. - 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; et al. (CoRR, 2022)

Decision-Aware Learning for Optimizing Health Supply Chains. - Tsai-Hsuan Chung; Vahid Rostami; Hamsa Bastani; Osbert Bastani (CoRR, 2022)

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. - Hamsa Bastani; Kimon Drakopoulos; Vishal Gupta 004; Jon Vlachogiannis; Christos Hadjichristodoulou; Pagona Lagiou; Gkikas Magiorkinis; Dimitrios Paraskevis; Sotirios Tsiodras (INFORMS J. Appl. Anal., 2022)

Adaptive Clinical Trial Designs with Surrogates: When Should We Bother? - Arielle Anderer; Hamsa Bastani; John Silberholz (Manag. Sci., 2022)

Meta Dynamic Pricing: Transfer Learning Across Experiments. - Hamsa Bastani; David Simchi-Levi; Ruihao Zhu (Manag. Sci., 2022)

Learning Personalized Product Recommendations with Customer Disengagement. - Hamsa Bastani; Pavithra Harsha; Georgia Perakis; Divya Singhvi (Manuf. Serv. Oper. Manag., 2022)

Artificial intelligence for climate change adaptation. - So-Min Cheong; Kris Sankaran; Hamsa Bastani (WIREs Data Mining Knowl. Discov., 2022)

Uniformly Conservative Exploration in Reinforcement Learning. - Wanqiao Xu; Yecheng Jason Ma; Kan Xu; Hamsa Bastani; Osbert Bastani (AISTATS, 2023)

Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. - Xinmeng Huang; Kan Xu; Donghwan Lee; Hamed Hassani; Hamsa Bastani; Edgar Dobriban (CoRR, 2023)

Rethinking Fairness for Human-AI Collaboration. - Haosen Ge; Hamsa Bastani; Osbert Bastani (CoRR, 2023)

Stochastic Bandits with ReLU Neural Networks. - Kan Xu; Hamsa Bastani; Surbhi Goel; Osbert Bastani (ICML, 2024)

Rethinking Fairness for Human-AI Collaboration (Extended Abstract). - Haosen Ge; Hamsa Bastani; Osbert Bastani (ITCS, 2024)

Generative Adversarial Model-Based Optimization via Source Critic Regularization. - Michael S. Yao; Yimeng Zeng; Hamsa Bastani; Jacob R. Gardner; James C. Gee; Osbert Bastani (NeurIPS, 2024)

Generative Adversarial Bayesian Optimization for Surrogate Objectives. - Michael S. Yao; Yimeng Zeng; Hamsa Bastani; Jacob R. Gardner; James C. Gee; Osbert Bastani (CoRR, 2024)

Stochastic Online Conformal Prediction with Semi-Bandit Feedback. - Haosen Ge; Hamsa Bastani; Osbert Bastani (CoRR, 2024)

Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning. - Pia Ramchandani; Hamsa Bastani; Emily Wyatt (Manuf. Serv. Oper. Manag., 2025)

Hiring under Congestion and Algorithmic Monoculture: Value of Strategic Behavior. - Jackie Baek; Hamsa Bastani; Shihan Chen (CoRR, 2025)