Hamsa Bastani - RankMe

40 papers A* 4A 2Journal 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are AI Capabilities Increasing Exponentially? A Competing Hypothesis. CoRR Haosen Ge, Hamsa Bastani, Osbert Bastani
2026	J	`jnl`	Improving Human Sequential Decision Making with Reinforcement Learning. Manag. Sci. Hamsa Bastani, Osbert Bastani, Wichinpong Park Sinchaisri
2026	J	`jnl`	Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching. CoRR Hamsa Bastani, Osbert Bastani, Bryce McLaughlin
2025	J	`jnl`	Beating the Winner's Curse via Inference-Aware Policy Optimization. CoRR Hamsa Bastani, Osbert Bastani, Bryce McLaughlin
2025	J	`jnl`	Hiring under Congestion and Algorithmic Monoculture: Value of Strategic Behavior. CoRR Jackie Baek, Hamsa Bastani, Shihan Chen
2025	J	`jnl`	Multitask Learning and Bandits via Robust Statistics. Manag. Sci. Kan Xu, Hamsa Bastani
2025	A*	`conf`	Stochastic Online Conformal Prediction with Semi-Bandit Feedback. ICML Haosen Ge, Hamsa Bastani, Osbert Bastani
2025	J	`jnl`	Unmasking Human Trafficking Risk in Commercial Sex Supply Chains with Machine Learning. Manuf. Serv. Oper. Manag. Pia Ramchandani, Hamsa Bastani, Emily Wyatt
2024	J	`jnl`	Generative Adversarial Bayesian Optimization for Surrogate Objectives. CoRR Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani
2024	A*	`conf`	Generative Adversarial Model-Based Optimization via Source Critic Regularization. NeurIPS Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani
2024	A	`conf`	Rethinking Fairness for Human-AI Collaboration (Extended Abstract). ITCS Haosen Ge, Hamsa Bastani, Osbert Bastani
2024	A*	`conf`	Stochastic Bandits with ReLU Neural Networks. ICML Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
2024	J	`jnl`	Stochastic Bandits with ReLU Neural Networks. CoRR Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
2024	J	`jnl`	Stochastic Online Conformal Prediction with Semi-Bandit Feedback. CoRR Haosen Ge, Hamsa Bastani, Osbert Bastani
2023	J	`jnl`	Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. CoRR Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban
2023	J	`jnl`	Rethinking Fairness for Human-AI Collaboration. CoRR Haosen Ge, Hamsa Bastani, Osbert Bastani
2023	A	`conf`	Uniformly Conservative Exploration in Reinforcement Learning. AISTATS Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani
2022	J	`jnl`	Adaptive Clinical Trial Designs with Surrogates: When Should We Bother? Manag. Sci. Arielle Anderer, Hamsa Bastani, John Silberholz
2022	J	`jnl`	Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. So-Min Cheong, Kris Sankaran, Hamsa Bastani
2022	J	`jnl`	Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR 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
2022	J	`jnl`	Decision-Aware Learning for Optimizing Health Supply Chains. CoRR Tsai-Hsuan Chung, Vahid Rostami, Hamsa Bastani, Osbert Bastani
2022	J	`jnl`	Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. INFORMS J. Appl. Anal. Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Jon Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
2022	J	`jnl`	Learning Personalized Product Recommendations with Customer Disengagement. Manuf. Serv. Oper. Manag. Hamsa Bastani, Pavithra Harsha, Georgia Perakis, Divya Singhvi
2022	J	`jnl`	Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
2021	J	`jnl`	Efficient and targeted COVID-19 border testing via reinforcement learning. Nat. Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
2021	A*	`conf`	Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. ICML Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani
2021	J	`jnl`	Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. CoRR Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani
2021	J	`jnl`	Improving Human Decision-Making with Machine Learning. CoRR Hamsa Bastani, Osbert Bastani, Wichinpong Park Sinchaisri
2021	J	`jnl`	Learning Across Bandits in High Dimension via Robust Statistics. CoRR Kan Xu, Hamsa Bastani
2021	J	`jnl`	Mostly Exploration-Free Algorithms for Contextual Bandits. Manag. Sci. Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
2021	J	`jnl`	Predicting with Proxies: Transfer Learning in High Dimension. Manag. Sci. Hamsa Bastani
2021	J	`jnl`	Robust Generalization of Quadratic Neural Networks via Function Identification. CoRR Kan Xu, Hamsa Bastani, Osbert Bastani
2021	J	`jnl`	Safely Bridging Offline and Online Reinforcement Learning. CoRR Wanqiao Xu, Kan Xu, Hamsa Bastani, Osbert Bastani
2020	J	`jnl`	Online Decision Making with High-Dimensional Covariates. Oper. Res. Hamsa Bastani, Mohsen Bayati
2019	J	`jnl`	Evidence of Upcoding in Pay-for-Performance Programs. Manag. Sci. Hamsa Bastani, Joel Goh, Mohsen Bayati
2019	J	`jnl`	Meta Dynamic Pricing: Learning Across Experiments. CoRR Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
2018	J	`jnl`	Predicting with Proxies. CoRR Hamsa Bastani
2017	J	`jnl`	Exploiting the Natural Exploration In Contextual Bandits. CoRR Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
2017	J	`jnl`	Interpretability via Model Extraction. CoRR Osbert Bastani, Carolyn Kim, Hamsa Bastani
2017	J	`jnl`	Interpreting Blackbox Models via Model Extraction. CoRR Osbert Bastani, Carolyn Kim, Hamsa Bastani