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Hamsa Bastani
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2020 – today
- 2024
- [c4]Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani:
Stochastic Bandits with ReLU Neural Networks. ICML 2024 - [c3]Haosen Ge, Hamsa Bastani, Osbert Bastani:
Rethinking Fairness for Human-AI Collaboration (Extended Abstract). ITCS 2024: 52:1-52:1 - [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
- [c2]Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani:
Uniformly Conservative Exploration in Reinforcement Learning. AISTATS 2023: 10856-10870 - [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
- [j10]Hamsa Bastani
, Kimon Drakopoulos
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
Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. 68(3): 1865-1881 (2022) - [j8]Arielle Anderer
Adaptive Clinical Trial Designs with Surrogates: When Should We Bother? Manag. Sci. 68(3): 1982-2002 (2022) - [j7]Hamsa Bastani
Learning Personalized Product Recommendations with Customer Disengagement. Manuf. Serv. Oper. Manag. 24(4): 2010-2028 (2022) - [j6]So-Min Cheong
Artificial intelligence for climate change adaptation. WIREs Data Mining Knowl. Discov. 12(5) (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
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
- [j5]Hamsa Bastani
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
Efficient and targeted COVID-19 border testing via reinforcement learning. Nat. 599(7883): 108-113 (2021) - [c1]Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani:
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings. ICML 2021: 11603-11612 - [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) - 2020
- [j2]Hamsa Bastani
Online Decision Making with High-Dimensional Covariates. Oper. Res. 68(1): 276-294 (2020)
2010 – 2019
- 2019
- [j1]Hamsa Bastani
Evidence of Upcoding in Pay-for-Performance Programs. Manag. Sci. 65(3): 1042-1060 (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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