| 2025 | AISTATS | Learning the Pareto Front Using Bootstrapped Observation Samples. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2025 | ICML | Linear Bandits with Partially Observable Features. | Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh |
| 2025 | WSC | Performance of LLMS on Stochastic Modeling Operations Research Problems: From Theory to Practice. | Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi |
| 2024 | AISTATS | A Doubly Robust Approach to Sparse Reinforcement Learning. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2023 | ALT | Complexity Analysis of a Countable-armed Bandit Problem. | Anand Kalvit, Assaf Zeevi |
| 2023 | ICML | Last Switch Dependent Bandits with Monotone Payoff Functions. | Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi |
| 2023 | ICML | Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
| 2023 | ICML | Bayesian Design Principles for Frequentist Sequential Learning. | Yunbei Xu, Assaf Zeevi |
| 2022 | WSC | Exact Optimal Fixed Width Confidence Interval Estimation for the Mean. | Vikas Deep, Achal Bassamboo, Sandeep Juneja, Assaf Zeevi |
| 2021 | COLT | Learning to Stop with Surprisingly Few Samples. | Daniel Russo, Assaf Zeevi, Tianyi Zhang |
| 2021 | ICML | Sparsity-Agnostic Lasso Bandit. | Min-hwan Oh, Garud Iyengar, Assaf Zeevi |
| 2018 | COLT | A General Approach to Multi-Armed Bandits Under Risk Criteria. | Asaf B. Cassel, Shie Mannor, Assaf Zeevi |
| 2017 | COLT | Thompson Sampling for the MNL-Bandit. | Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi |
| 2016 | WSC | Tractable sampling strategies for quantile-based ordinal optimization. | Dongwook Shin, Mark Broadie, Assaf Zeevi |
| 2015 | ICML | Online Time Series Prediction with Missing Data. | Oren Anava, Elad Hazan, Assaf Zeevi |
| 2010 | COLT | Nonparametric Bandits with Covariates. | Philippe Rigollet, Assaf Zeevi |
| 2009 | WSC | An Adaptive Multidimensional Version of the Kiefer-Wolfowitz Stochastic Approximation Algorithm. | Mark Broadie, Deniz M. Cicek, Assaf Zeevi |
| 2007 | WSC | Implications of heavy tails on simulation-based ordinal optimization. | Mark Broadie, Minsup Han, Assaf Zeevi |
| 2005 | WSC | Importance sampling simulation in the presence of heavy tails. | Achal Bassamboo, Sandeep Juneja, Assaf Zeevi |
| 2005 | WSC | Expected shortfall in credit portfolios with extremal dependence. | Achal Bassamboo, Sandeep Juneja, Assaf Zeevi |