Hamsa Bastani

Orcid: 0000-0002-8793-4732

According to our database1, Hamsa Bastani authored at least 27 papers between 2017 and 2024.

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Bibliography

2024
Generative Adversarial Bayesian Optimization for Surrogate Objectives.
CoRR, 2024

Rethinking Fairness for Human-AI Collaboration (Extended Abstract).
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

2023
Rethinking Fairness for Human-AI Collaboration.
CoRR, 2023

Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits.
CoRR, 2023

Uniformly Conservative Exploration in Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Artificial intelligence for climate change adaptation.
WIREs Data Mining Knowl. Discov., 2022

Learning Personalized Product Recommendations with Customer Disengagement.
Manuf. Serv. Oper. Manag., 2022

Meta Dynamic Pricing: Transfer Learning Across Experiments.
Manag. Sci., 2022

Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?
Manag. Sci., 2022

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System.
INFORMS J. Appl. Anal., 2022

Decision-Aware Learning for Optimizing Health Supply Chains.
CoRR, 2022

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms.
CoRR, 2022

2021
Efficient and targeted COVID-19 border testing via reinforcement learning.
Nat., 2021

Mostly Exploration-Free Algorithms for Contextual Bandits.
Manag. Sci., 2021

Predicting with Proxies: Transfer Learning in High Dimension.
Manag. Sci., 2021

Learning Across Bandits in High Dimension via Robust Statistics.
CoRR, 2021

Safely Bridging Offline and Online Reinforcement Learning.
CoRR, 2021

Robust Generalization of Quadratic Neural Networks via Function Identification.
CoRR, 2021

Improving Human Decision-Making with Machine Learning.
CoRR, 2021

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Online Decision Making with High-Dimensional Covariates.
Oper. Res., 2020

2019
Evidence of Upcoding in Pay-for-Performance Programs.
Manag. Sci., 2019

Meta Dynamic Pricing: Learning Across Experiments.
CoRR, 2019

2018
Predicting with Proxies.
CoRR, 2018

2017
Interpretability via Model Extraction.
CoRR, 2017

Interpreting Blackbox Models via Model Extraction.
CoRR, 2017

Exploiting the Natural Exploration In Contextual Bandits.
CoRR, 2017


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