| 2024 | AISTATS | Pessimistic Off-Policy Multi-Objective Optimization. | Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu |
| 2024 | AISTATS | Optimal Exploration is no harder than Thompson Sampling. | Zhaoqi Li, Kevin Jamieson, Lalit Jain |
| 2024 | AISTATS | 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 | WWW | Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. | Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain |
| 2024 | UAI | Fair Active Learning in Low-Data Regimes. | Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson |
| 2022 | AAAI | An Experimental Design Approach for Regret Minimization in Logistic Bandits. | Blake Mason, Kwang-Sung Jun, Lalit Jain |
| 2021 | ICML | Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. | Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason |
| 2021 | ICML | Improved Algorithms for Agnostic Pool-based Active Classification. | Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson |
| 2020 | UAI | Spectral Methods for Ranking with Scarce Data. | Lalit Jain, Anna C. Gilbert, Umang Varma |
| 2018 | FUSION | Deep Learning for Military Image Captioning. | Subrata Das, Lalit Jain, Arup Das |
| 2018 | ICASSP | The Landscape of Non-Convex Quadratic Feasibility. | Amanda Bower, Lalit Jain, Laura Balzano |
| 2018 | ICML | Firing Bandits: Optimizing Crowdfunding. | Lalit Jain, Kevin Jamieson |