Hamsa Bastani

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All published works

Action	Title	Year	Authors
+ PDF Chat	Multitask Learning and Bandits via Robust Statistics	2025	Xu Kan Hamsa Bastani
+ PDF Chat	Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity	2024	Xinmeng Huang Kan Xu Donghwan Lee Hamed Hassani Hamsa Bastani Edgar Dobriban
+ PDF Chat	Stochastic Online Conformal Prediction with Semi-Bandit Feedback	2024	Haosen Ge Hamsa Bastani Osbert Bastani
+ PDF Chat	Stochastic Bandits with ReLU Neural Networks	2024	Kan Xu Hamsa Bastani Surbhi Goel Osbert Bastani
+ PDF Chat	Generative Adversarial Bayesian Optimization for Surrogate Objectives	2024	Michael S. Yao Yimeng Zeng Hamsa Bastani Jacob R. Gardner James C. Gee Osbert Bastani
+ PDF Chat	Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings	2024	Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani
+ PDF Chat	Multitask Learning and Bandits via Robust Statistics	2024	Kan Xu Hamsa Bastani
+	Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits	2023	Xinmeng Huang Xu Kan Donghwan Lee Hamed Hassani Hamsa Bastani Edgar Dobriban
+	Rethinking Fairness for Human-AI Collaboration	2023	Haosen Ge Hamsa Bastani Osbert Bastani
+ PDF Chat	Improving Human Decision-Making with Machine Learning	2022	Hamsa Bastani Osbert Bastani Park Sinchaisri
+	Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms	2022	Vashist Avadhanula Omar Abdul Baki Hamsa Bastani Osbert Bastani Caner Gocmen Daniel Haimovich Darren Hwang Dima Karamshuk Thomas J. Leeper Jiayuan Ma
+	Decision-Aware Learning for Optimizing Health Supply Chains	2022	Tsai-Hsuan Chung Vahid Rostami Hamsa Bastani Osbert Bastani
+	Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?	2021	Arielle Anderer Hamsa Bastani John Silberholz
+ PDF Chat	Efficient and targeted COVID-19 border testing via reinforcement learning	2021	Hamsa Bastani Kimon Drakopoulos Vishal Gupta Ioannis Vlachogiannis Christos Hadjichristodoulou Παγώνα Λάγιου Gkikas Magiorkinis Dimitrios Paraskevis Sotirios Tsiodras
+	Robust Generalization of Quadratic Neural Networks via Function Identification.	2021	Kan Xu Hamsa Bastani Osbert Bastani
+ PDF Chat	Meta Dynamic Pricing: Transfer Learning Across Experiments	2021	Hamsa Bastani David Simchi‐Levi Ruihao Zhu
+	Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border	2021	Hamsa Bastani Kimon Drakopoulos Vishal Gupta Jon Vlachogiannis Christos Hadjicristodoulou Παγώνα Λάγιου Gkikas Magiorkinis Dimitrios Paraskevis Sotirios Tsiodras
+	Uniformly Conservative Exploration in Reinforcement Learning	2021	Wanqiao Xu Kan Xu Hamsa Bastani Osbert Bastani
+	Multitask Learning and Bandits via Robust Statistics	2021	Kan Xu Hamsa Bastani
+	Improving Human Sequential Decision-Making with Reinforcement Learning	2021	Hamsa Bastani Osbert Bastani Wichinpong Park Sinchaisri
+	Robust Generalization of Quadratic Neural Networks via Function Identification	2021	Kan Xu Hamsa Bastani Osbert Bastani
+	Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings	2021	Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani
+ PDF Chat	Predicting with Proxies: Transfer Learning in High Dimension	2020	Hamsa Bastani
+ PDF Chat	Mostly Exploration-Free Algorithms for Contextual Bandits	2020	Hamsa Bastani Mohsen Bayati Khashayar Khosravi
+	Meta Dynamic Pricing: Learning Across Experiments	2019	Hamsa Bastani David Simchi‐Levi Ruihao Zhu
+	Meta Dynamic Pricing: Transfer Learning Across Experiments	2019	Hamsa Bastani David Simchi‐Levi Ruihao Zhu
+	Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?	2019	Arielle Anderer Hamsa Bastani John Silberholz
+	Meta Dynamic Pricing: Learning Across Experiments	2019	Hamsa Bastani David Simchi‐Levi Ruihao Zhu
+	Predicting with Proxies.	2018	Hamsa Bastani
+	Predicting with Proxies: Transfer Learning in High Dimension	2018	Hamsa Bastani
+	Predicting with Proxies: Transfer Learning in High Dimension	2018	Hamsa Bastani
+	Exploiting the Natural Exploration In Contextual Bandits.	2017	Hamsa Bastani Mohsen Bayati Khashayar Khosravi
+	Mostly Exploration-Free Algorithms for Contextual Bandits	2017	Hamsa Bastani Mohsen Bayati Khashayar Khosravi
+	Interpreting Blackbox Models via Model Extraction	2017	Osbert Bastani Carolyn Kim Hamsa Bastani
+	Interpretability via Model Extraction	2017	Osbert Bastani Carolyn Kim Hamsa Bastani
+	Mostly Exploration-Free Algorithms for Contextual Bandits	2017	Hamsa Bastani Mohsen Bayati Khashayar Khosravi

Common Coauthors

Coauthor	Papers Together
Osbert Bastani	15
Kan Xu	6
Khashayar Khosravi	4
David Simchi‐Levi	4
Ruihao Zhu	4
Mohsen Bayati	4
Sotirios Tsiodras	2
Παγώνα Λάγιου	2
Carolyn Kim	2
John Silberholz	2
Dimitrios Paraskevis	2
Xinmeng Huang	2
Xu Kan	2
Gkikas Magiorkinis	2
Vishal Gupta	2
Donghwan Lee	2
Kan Xu	2
Xuanyi Zhao	2
Arielle Anderer	2
Hamed Hassani	2
Edgar Dobriban	2
Haosen Ge	2
Kimon Drakopoulos	2
Kevin Schaeffer	1
Ioannis Vlachogiannis	1
Vashist Avadhanula	1
Christos Hadjicristodoulou	1
Thomas J. Leeper	1
Tsai-Hsuan Chung	1
Sung Min Park	1
Parikshit Shah	1
Varun S Rajagopal	1
Yimeng Zeng	1
Jacob R. Gardner	1
Peng Xu	1
Jon Vlachogiannis	1
James C. Gee	1
Caner Gocmen	1
Omar Abdul Baki	1
Vahid Rostami	1
Christopher Palow	1
Darren Hwang	1
Surbhi Goel	1
Wichinpong Park Sinchaisri	1
Park Sinchaisri	1
Dima Karamshuk	1
Deeksha Sinha	1
Jiayuan Ma	1
Christos Hadjichristodoulou	1
Daniel Haimovich	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	11
+ PDF Chat	Predicting with Proxies: Transfer Learning in High Dimension	2020	Hamsa Bastani	8
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	5
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	5
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	5
+ PDF Chat	Mostly Exploration-Free Algorithms for Contextual Bandits	2020	Hamsa Bastani Mohsen Bayati Khashayar Khosravi	5
+ PDF Chat	Learning to Optimize via Posterior Sampling	2014	Daniel Russo Benjamin Van Roy	4
+	An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer	2016	Dimitris Bertsimas Allison O’Hair Stephen L. Relyea John Silberholz	4
+	High-Dimensional Statistics: A Non-Asymptotic Viewpoint	2019	Martin J. Wainwright	4
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	4
+ PDF Chat	One-Armed Bandit Problems with Covariates	1991	Jyotirmoy Sarkar	3
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	3
+ PDF Chat	Bandits with concave rewards and convex knapsacks	2014	Shipra Agrawal Nikhil R. Devanur	3
+ PDF Chat	Linearly Parameterized Bandits	2010	Paat Rusmevichientong John N. Tsitsiklis	3
+ PDF Chat	The Group Lasso for Logistic Regression	2008	Lukas Meier Sara van de Geer Peter Bühlmann	3
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	3
+ PDF Chat	User-Friendly Tail Bounds for Matrix Martingales	2011	Joel A. Tropp	3
+ PDF Chat	Optimal aggregation of classifiers in statistical learning	2004	A. B. Tsybakov	3
+ PDF Chat	A Tutorial on Thompson Sampling	2018	Daniel Russo Benjamin Van Roy Abbas Kazerouni Ian Osband Zheng Wen	3
+ PDF Chat	Strong consistency of maximum quasi-likelihood estimators in generalized linear models with fixed and adaptive designs	1999	Kani Chen Inchi Hu Zhiliang Ying	3
+ PDF Chat	Distributed linear regression by averaging	2021	Edgar Dobriban Yue Sheng	3
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	3
+ PDF Chat	Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain	2012		3
+	A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers	2012	Sahand Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu	3
+ PDF Chat	Meta Dynamic Pricing: Transfer Learning Across Experiments	2021	Hamsa Bastani David Simchi‐Levi Ruihao Zhu	3
+	An overview of robust Bayesian analysis	1994	James O. Berger Elı́as Moreno Luis R. Pericchi M. J. Bayarri José M. Bernardo Juan Antonio Cano Julián de la Horra J. Martı́n David Rı́os Insua Bruno Betrò	2
+	Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model	2015	Benjamin Letham Cynthia Rudin Tyler H. McCormick David Madigan	2
+ PDF Chat	Inference on Treatment Effects after Selection among High-Dimensional Controls	2013	Alexandre Belloni Victor Chernozhukov Christian Hansen	2
+ PDF Chat	Bayesian Statistics and the Efficiency and Ethics of Clinical Trials	2004	Donald A. Berry	2
+	Criteria for the Validation of Surrogate Endpoints in Randomized Experiments	1998	Marc Buyse Geert Molenberghs	2
+ PDF Chat	A logrank test-based method for sizing clinical trials with two co-primary time-to-event endpoints	2013	Tomoyuki Sugimoto Takashi Sozu Toshimitsu Hamasaki Scott Evans	2
+	Correlation between the sample variances in a singly truncated bivariate normal distribution	1968	B. Raja Rao M. L. Garg C. C. Li	2
+ PDF Chat	Group Sequential Tests for Delayed Responses (with discussion)	2012	Lisa V. Hampson Christopher Jennison	2
+ PDF Chat	Bayesian clinical trials in action	2012	J. Jack Lee Caleb T. Chu	2
+	Empirical Bayes Methods for Stabilizing Incidence Rates before Mapping	1994	Owen Devine Thomas A. Louis M. Elizabeth Halloran	2
+	Interim analysis: The alpha spending function approach	1994	David L. DeMets K. K. Gordon Lan	2
+ PDF Chat	Bayesian Adaptive Trial Design for a Newly Validated Surrogate Endpoint	2011	Lindsay A. Renfro Bradley P. Carlin Daniel J. Sargent	2
+ PDF Chat	Marginal Mean Models for Dynamic Regimes	2001	Susan A. Murphy Mark J. van der Laan James M. Robins	2
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	2
+ PDF Chat	Validation of Surrogate end Points in Multiple Randomized Clinical Trials with Failure Time end Points	2001	Tomasz Burzykowski Geert Molenberghs Marc Buyse Helena Geys Didier Renard	2
+ PDF Chat	Learning Theory Estimates via Integral Operators and Their Approximations	2007	Steve Smale Ding‐Xuan Zhou	2
+	Tutorial to robust statistics	1991	Peter J. Rousseeuw	2
+	Approximately Optimal One-Parameter Boundaries for Group Sequential Trials	1987	Samuel K. Wang Anastasios A. Tsiatis	2
+	Empirical-Bayes Adjustments for Multiple Comparisons Are Sometimes Useful	1991	Sander Greenland James M. Robins	2
+ PDF Chat	Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set	1987	Ker-Chau Li	2
+	A Multiple Testing Procedure for Clinical Trials	1979	Peter C. O’Brien Thomas R. Fleming	2
+	Robust bayesian methods for monitoring clinical trials	1995	Joel B. Greenhouse Larry Waserman	2
+	Bayesian clinical trials	2006	Donald A. Berry	2
+	The asymptotic properties of nonparametric tests for comparing survival distributions	1981	David Schoenfeld	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2