Lalit Jain
University of Washington
H-index: 14
North America-United States
Top articles of Lalit Jain
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models | Available at SSRN 4438537 | Lalit Jain Zhaoqi Li Erfan Loghmani Blake Mason Hema Yoganarasimhan | 2023/5/4 |
Pessimistic Off-Policy Multi-Objective Optimization | 27th International Conference on Artificial Intelligence and Statistics (AISTATS) | Shima Alizadeh Aniruddha Bhargava Karthick Gopalswamy Lalit Jain Branislav Kveton | 2023/10/28 |
Adaptive experimentation when you can’t experiment | Yao Zhao Kwang-Sung Jun Bibek Adhikari Tanner Fiez Lalit Jain | 2023 | |
Minimax Optimal Submodular Optimization with Bandit Feedback | arXiv preprint arXiv:2310.18465 | Artin Tajdini Lalit Jain Kevin Jamieson | 2023/10/27 |
Best of three worlds: Adaptive experimentation for digital marketing in practice | Tanner Fiez Houssam Nassif Lalit Jain | 2023 | |
Optimal Exploration is no harder than Thompson Sampling | arXiv preprint arXiv:2310.06069 | Zhaoqi Li Kevin Jamieson Lalit Jain | 2023/10/9 |
Experimental Designs for Heteroskedastic Variance | Advances in Neural Information Processing Systems | Justin Weltz Tanner Fiez Alexander Volfovsky Eric Laber Blake Mason | 2024/2/13 |
DIRECT: Deep Active Learning under Imbalance and Label Noise | arXiv preprint arXiv:2312.09196 | Shyam Nuggehalli Jifan Zhang Lalit Jain Robert Nowak | 2023/12/14 |
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity | Zhihan Xiong Romain Camilleri Maryam Fazel Lalit Jain Kevin Jamieson | 2024/4/18 | |
Fair Active Learning in Low-Data Regimes | arXiv preprint arXiv:2312.08559 | Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit Jain Kevin Jamieson | 2023/12/13 |
Active Learning with Safety Constraints | Advances in Neural Information Processing Systems | Romain Camilleri Andrew Wagenmaker Jamie H Morgenstern Lalit Jain Kevin G Jamieson | 2022/12/6 |
Interactive Machine Learning | Kevin Jamieson Lalit Jain | 2022/3/17 | |
An Experimental Design Approach for Regret Minimization in Logistic Bandits | arXiv preprint arXiv:2202.02407 | Blake Mason Kwang-Sung Jun Lalit Jain | 2022/2/4 |
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design | PLoS computational biology | Jennifer Brennan Lalit Jain Sofia Garman Ann E Donnelly Erik Scott Wright | 2022/7/18 |
Adaptive Experimental Design and Counterfactual Inference | Consequences and Reveal Workshop | Tanner Fiez Sergio Gamez Arick Chen Houssam Nassif Lalit Jain | 2022 |
Instance-optimal PAC Algorithms for Contextual Bandits | arXiv preprint arXiv:2207.02357 | Zhaoqi Li Lillian Ratliff Houssam Nassif Kevin Jamieson Lalit Jain | 2022/7/5 |
Nearly Optimal Algorithms for Level Set Estimation | arXiv preprint arXiv:2111.01768 | Blake Mason Romain Camilleri Subhojyoti Mukherjee Kevin Jamieson Robert Nowak | 2021/11/2 |
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits | Kwang-Sung Jun Lalit Jain Blake Mason Houssam Nassif | 2021/7/1 | |
Improved Algorithms for Agnostic Pool-based Active Classification | arXiv preprint arXiv:2105.06499 | Julian Katz-Samuels Jifan Zhang Lalit Jain Kevin Jamieson | 2021/5/13 |
Selective Sampling for Online Best-arm Identification | Advances in Neural Information Processing Systems | Romain Camilleri Zhihan Xiong Maryam Fazel Lalit Jain Kevin G Jamieson | 2021/12/6 |
Co-Authors
