Assaf Zeevi - RankMe

99 papers A* 17A 2B 1Misc 6Journal 69Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Cost of Learning under Multiple Change Points. CoRR Tomer Gafni, Garud Iyengar, Assaf Zeevi
2026	J	`jnl`	Thompson Sampling for the Multinomial Logit Bandit. Math. Oper. Res. Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2025	J	`jnl`	A Broader View of Thompson Sampling. CoRR Yanlin Qu, Hongseok Namkoong, Assaf Zeevi
2025	J	`jnl`	Bayesian Design Principles for Frequentist Sequential Learning. J. ACM Yunbei Xu, Assaf Zeevi
2025	J	`jnl`	Feature Misspecification in Sequential Learning Problems. Manag. Sci. Dohyun Ahn, Dongwook Shin, Assaf Zeevi
2025	A	`conf`	Learning the Pareto Front Using Bootstrapped Observation Samples. AISTATS Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2025	A*	`conf`	Linear Bandits with Partially Observable Features. ICML Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh
2025	J	`jnl`	Linear Bandits with Partially Observable Features. CoRR Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh
2025	J	`jnl`	Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice. CoRR Akshit Kumar, Tianyi Peng, Yuhang Wu, Assaf Zeevi
2025	J	`jnl`	Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory. Math. Oper. Res. Yunbei Xu, Assaf Zeevi
2024	A	`conf`	A Doubly Robust Approach to Sparse Reinforcement Learning. AISTATS Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2024	J	`jnl`	Optimal single threshold stopping rules and sharp prophet inequalities. CoRR Alexander Goldenshluger, Yaakov Malinovsky, Assaf Zeevi
2024	J	`jnl`	Product Quality and Information Sharing in the Presence of Reviews. Manag. Sci. Dongwook Shin, Assaf Zeevi
2023	J	`jnl`	A Doubly Robust Approach to Sparse Reinforcement Learning. CoRR Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2023	J	`jnl`	A General Framework for Bandit Problems Beyond Cumulative Objectives. Math. Oper. Res. Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2023	A*	`conf`	Bayesian Design Principles for Frequentist Sequential Learning. ICML Yunbei Xu, Assaf Zeevi
2023	J	`jnl`	Bayesian Design Principles for Frequentist Sequential Learning. CoRR Yunbei Xu, Assaf Zeevi
2023	B	`conf`	Complexity Analysis of a Countable-armed Bandit Problem. ALT Anand Kalvit, Assaf Zeevi
2023	J	`jnl`	Complexity Analysis of a Countable-armed Bandit Problem. CoRR Anand Kalvit, Assaf Zeevi
2023	J	`jnl`	Dynamic Pricing with Online Reviews. Manag. Sci. Dongwook Shin, Stefano Vaccari, Assaf Zeevi
2023	A*	`conf`	Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. ICML Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2023	J	`jnl`	Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback. CoRR Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2023	A*	`conf`	Last Switch Dependent Bandits with Monotone Payoff Functions. ICML Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi
2023	J	`jnl`	Last Switch Dependent Bandits with Monotone Payoff Functions. CoRR Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi
2023	J	`jnl`	MNL-Prophet: Sequential Assortment Selection under Uncertainty. CoRR Vineet Goyal, Salal Humair, Orestis Papadigenopoulos, Assaf Zeevi
2023	J	`jnl`	Pareto Front Identification with Regret Minimization. CoRR Wonyoung Kim, Garud Iyengar, Assaf Zeevi
2022	—	`conf`	Bandits with Dynamic Arm-acquisition Costs Allerton Anand Kalvit, Assaf Zeevi
2022	A*	`conf`	Dynamic Learning in Large Matching Markets. NeurIPS Anand Kalvit, Assaf Zeevi
2022	J	`jnl`	Dynamic Learning in Large Matching Markets. SIGMETRICS Perform. Evaluation Rev. Anand Kalvit, Assaf Zeevi
2022	Misc	`conf`	Exact Optimal Fixed Width Confidence Interval Estimation for the Mean. WSC Vikas Deep, Achal Bassamboo, Sandeep Juneja, Assaf Zeevi
2022	A*	`conf`	Online Allocation and Learning in the Presence of Strategic Agents. NeurIPS Steven Yin, Shipra Agrawal, Assaf Zeevi
2022	J	`jnl`	Online Allocation and Learning in the Presence of Strategic Agents. CoRR Steven Yin, Shipra Agrawal, Assaf Zeevi
2022	J	`jnl`	Optimal Stopping of a Random Sequence with Unknown Distribution. Math. Oper. Res. Alexander Goldenshluger, Assaf Zeevi
2022	J	`jnl`	Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization. INFORMS J. Comput. Dongwook Shin, Mark Broadie, Assaf Zeevi
2021	A*	`conf`	A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms. NeurIPS Anand Kalvit, Assaf Zeevi
2021	J	`jnl`	A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms. CoRR Anand Kalvit, Assaf Zeevi
2021	A*	`conf`	Dynamic Pricing and Learning under the Bass Model. EC Shipra Agrawal, Steven Yin, Assaf Zeevi
2021	J	`jnl`	Dynamic Pricing and Learning under the Bass Model. CoRR Shipra Agrawal, Steven Yin, Assaf Zeevi
2021	J	`jnl`	From Finite to Countable-Armed Bandits. CoRR Anand Kalvit, Assaf Zeevi
2021	A*	`conf`	Learning to Stop with Surprisingly Few Samples. COLT Daniel Russo, Assaf Zeevi, Tianyi Zhang
2021	J	`jnl`	Learning to Stop with Surprisingly Few Samples. CoRR Daniel Russo, Assaf Zeevi, Tianyi Zhang
2021	A*	`conf`	Sparsity-Agnostic Lasso Bandit. ICML Min-hwan Oh, Garud Iyengar, Assaf Zeevi
2021	J	`jnl`	The Countable-armed Bandit with Vanishing Arms. CoRR Anand Kalvit, Assaf Zeevi
2020	J	`jnl`	Discriminative Learning via Adaptive Questioning. CoRR Achal Bassamboo, Vikas Deep, Sandeep Juneja, Assaf Zeevi
2020	A*	`conf`	From Finite to Countable-Armed Bandits. NeurIPS Anand Kalvit, Assaf Zeevi
2020	J	`jnl`	Sparsity-Agnostic Lasso Bandit. CoRR Min-hwan Oh, Garud Iyengar, Assaf Zeevi
2020	J	`jnl`	Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory. CoRR Yunbei Xu, Assaf Zeevi
2020	A*	`conf`	Towards Problem-dependent Optimal Learning Rates. NeurIPS Yunbei Xu, Assaf Zeevi
2020	J	`jnl`	Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits. CoRR Yunbei Xu, Assaf Zeevi
2019	J	`jnl`	MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. Oper. Res. Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2018	A*	`conf`	A General Approach to Multi-Armed Bandits Under Risk Criteria. COLT Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2018	J	`jnl`	A General Approach to Multi-Armed Bandits Under Risk Criteria. CoRR Asaf B. Cassel, Shie Mannor, Assaf Zeevi
2018	J	`jnl`	On Incomplete Learning and Certainty-Equivalence Control. Oper. Res. N. Bora Keskin, Assaf Zeevi
2018	J	`jnl`	Optimal Price and Delay Differentiation in Large-Scale Queueing Systems. Manag. Sci. Constantinos Maglaras, John Yao, Assaf Zeevi
2018	J	`jnl`	Tractable Sampling Strategies for Ordinal Optimization. Oper. Res. Dongwook Shin, Mark Broadie, Assaf Zeevi
2017	J	`jnl`	Chasing Demand: Learning and Earning in a Changing Environment. Math. Oper. Res. N. Bora Keskin, Assaf Zeevi
2017	J	`jnl`	MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. CoRR Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017	A*	`conf`	Thompson Sampling for the MNL-Bandit. COLT Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017	J	`jnl`	Thompson Sampling for the MNL-Bandit. CoRR Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016	A*	`conf`	A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. EC Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016	J	`jnl`	On the tightness of an LP relaxation for rational optimization and its applications. Oper. Res. Lett. Vashist Avadhanula, Jalaj Bhandari, Vineet Goyal, Assaf Zeevi
2016	J	`jnl`	Optimization in Online Content Recommendation Services: Beyond Click-Through Rates. Manuf. Serv. Oper. Manag. Omar Besbes, Yonatan Gur, Assaf Zeevi
2016	Misc	`conf`	Tractable sampling strategies for quantile-based ordinal optimization. WSC Dongwook Shin, Mark Broadie, Assaf Zeevi
2015	J	`jnl`	Non-Stationary Stochastic Optimization. Oper. Res. Omar Besbes, Yonatan Gur, Assaf Zeevi
2015	J	`jnl`	On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning. Manag. Sci. Omar Besbes, Assaf Zeevi
2015	A*	`conf`	Online Time Series Prediction with Missing Data. ICML Oren Anava, Elad Hazan, Assaf Zeevi
2014	J	`jnl`	Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies. Oper. Res. N. Bora Keskin, Assaf Zeevi
2014	J	`jnl`	Multidimensional stochastic approximation: Adaptive algorithms and applications. ACM Trans. Model. Comput. Simul. Mark Broadie, Deniz M. Cicek, Assaf Zeevi
2014	J	`jnl`	Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards. CoRR Omar Besbes, Yonatan Gur, Assaf Zeevi
2014	—	`conf`	Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. NIPS Yonatan Gur, Assaf Zeevi, Omar Besbes
2013	J	`jnl`	Non-stationary Stochastic Optimization. CoRR Omar Besbes, Yonatan Gur, Assaf Zeevi
2013	J	`jnl`	Optimal Dynamic Assortment Planning with Demand Learning. Manuf. Serv. Oper. Manag. Denis Sauré, Assaf Zeevi
2012	J	`jnl`	Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution. Manag. Sci. J. Michael Harrison, N. Bora Keskin, Assaf Zeevi
2012	J	`jnl`	Blind Network Revenue Management. Oper. Res. Omar Besbes, Assaf Zeevi
2011	J	`jnl`	A Note on Performance Limitations in Bandit Problems With Side Information. IEEE Trans. Inf. Theory Alexander Goldenshluger, Assaf Zeevi
2011	J	`jnl`	General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm. Oper. Res. Mark Broadie, Deniz M. Cicek, Assaf Zeevi
2011	J	`jnl`	On the Minimax Complexity of Pricing in a Changing Environment. Oper. Res. Omar Besbes, Assaf Zeevi
2010	J	`jnl`	Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited. Manag. Sci. Achal Bassamboo, Ramandeep S. Randhawa, Assaf Zeevi
2010	A*	`conf`	Nonparametric Bandits with Covariates. COLT Philippe Rigollet, Assaf Zeevi
2010	—	`conf`	Revenue maximization in reservation-based online advertising through dynamic inventory management. Allerton Ana Radovanovic, Assaf Zeevi
2010	J	`jnl`	Revenue maximization through "smart" inventory management in reservation-based online advertising. SIGMETRICS Perform. Evaluation Rev. Ana Radovanovic, Assaf Zeevi
2010	J	`jnl`	Testing the Validity of a Demand Model: An Operations Perspective. Manuf. Serv. Oper. Manag. Omar Besbes, Robert Phillips, Assaf Zeevi
2010	—	`conf`	Time-of-Use pricing policies for offering Cloud Computing as a service. SOLI Denis Sauré, Anshul Sheopuri, Huiming Qu, Hani Jamjoom, Assaf Zeevi
2009	Misc	`conf`	An Adaptive Multidimensional Version of the Kiefer-Wolfowitz Stochastic Approximation Algorithm. WSC Mark Broadie, Deniz M. Cicek, Assaf Zeevi
2009	J	`jnl`	Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms. Oper. Res. Omar Besbes, Assaf Zeevi
2009	J	`jnl`	On a Data-Driven Method for Staffing Large Call Centers. Oper. Res. Achal Bassamboo, Assaf Zeevi
2009	J	`jnl`	Pointwise Stationary Fluid Models for Stochastic Processing Networks. Manuf. Serv. Oper. Manag. Achal Bassamboo, J. Michael Harrison, Assaf Zeevi
2008	J	`jnl`	Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation. Oper. Res. Achal Bassamboo, Sandeep Juneja, Assaf Zeevi
2007	Misc	`conf`	Implications of heavy tails on simulation-based ordinal optimization. WSC Mark Broadie, Minsup Han, Assaf Zeevi
2007	J	`jnl`	On the inefficiency of state-independent importance sampling in the presence of heavy tails. Oper. Res. Lett. Achal Bassamboo, Sandeep Juneja, Assaf Zeevi
2006	J	`jnl`	Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method. Oper. Res. Achal Bassamboo, J. Michael Harrison, Assaf Zeevi
2005	J	`jnl`	A Method for Staffing Large Call Centers Based on Stochastic Fluid Models. Manuf. Serv. Oper. Manag. J. Michael Harrison, Assaf Zeevi
2005	J	`jnl`	Dynamic Routing and Admission Control in High-Volume Service Systems: Asymptotic Analysis via Multi-Scale Fluid Limits. Queueing Syst. Theory Appl. Achal Bassamboo, J. Michael Harrison, Assaf Zeevi
2005	Misc	`conf`	Expected shortfall in credit portfolios with extremal dependence. WSC Achal Bassamboo, Sandeep Juneja, Assaf Zeevi
2005	Misc	`conf`	Importance sampling simulation in the presence of heavy tails. WSC Achal Bassamboo, Sandeep Juneja, Assaf Zeevi
2005	J	`jnl`	Pricing and Design of Differentiated Services: Approximate Analysis and Structural Insights. Oper. Res. Constantinos Maglaras, Assaf Zeevi
2004	J	`jnl`	Diffusion Approximations for a Multiclass Markovian Service System with "Guaranteed" and "Best-Effort" Service Levels. Math. Oper. Res. Constantinos Maglaras, Assaf Zeevi
2004	J	`jnl`	Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Heavy Traffic Regime. Oper. Res. J. Michael Harrison, Assaf Zeevi
2003	J	`jnl`	Pricing and Capacity Sizing for Systems with Shared Resources: Approximate Solutions and Scaling Relations. Manag. Sci. Constantinos Maglaras, Assaf Zeevi