Time Series Prediction using Mixtures of Experts. - Assaf J. Zeevi; Ron Meir; Robert J. Adler (NIPS, 1996)

Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds. - Assaf J. Zeevi; Ronny Meir (Neural Networks, 1997)

On the Performance of Vector Quantizers Empirically Designed from Dependent Sources. - Assaf J. Zeevi (Data Compression Conference, 1998)

Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts. - Assaf J. Zeevi; Ron Meir; Vitaly Maiorov (IEEE Trans. Inf. Theory, 1998)

Pricing and Capacity Sizing for Systems with Shared Resources: Approximate Solutions and Scaling Relations. - Constantinos Maglaras; Assaf Zeevi (Manag. Sci., 2003)

Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Heavy Traffic Regime. - J. Michael Harrison 001; Assaf Zeevi (Oper. Res., 2004)

Diffusion Approximations for a Multiclass Markovian Service System with "Guaranteed" and "Best-Effort" Service Levels. - Constantinos Maglaras; Assaf Zeevi (Math. Oper. Res., 2004)

Importance sampling simulation in the presence of heavy tails. - Achal Bassamboo; Sandeep Juneja 001; Assaf Zeevi (WSC, 2005)

Expected shortfall in credit portfolios with extremal dependence. - Achal Bassamboo; Sandeep Juneja 001; Assaf Zeevi (WSC, 2005)

Pricing and Design of Differentiated Services: Approximate Analysis and Structural Insights. - Constantinos Maglaras; Assaf Zeevi (Oper. Res., 2005)

A Method for Staffing Large Call Centers Based on Stochastic Fluid Models. - J. Michael Harrison 001; Assaf Zeevi (Manuf. Serv. Oper. Manag., 2005)

Dynamic Routing and Admission Control in High-Volume Service Systems: Asymptotic Analysis via Multi-Scale Fluid Limits. - Achal Bassamboo; J. Michael Harrison 001; Assaf Zeevi (Queueing Syst. Theory Appl., 2005)

Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method. - Achal Bassamboo; J. Michael Harrison 001; Assaf Zeevi (Oper. Res., 2006)

Implications of heavy tails on simulation-based ordinal optimization. - Mark Broadie; Minsup Han; Assaf Zeevi (WSC, 2007)

On the inefficiency of state-independent importance sampling in the presence of heavy tails. - Achal Bassamboo; Sandeep Juneja 001; Assaf Zeevi (Oper. Res. Lett., 2007)

Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation. - Achal Bassamboo; Sandeep Juneja 001; Assaf Zeevi (Oper. Res., 2008)

An Adaptive Multidimensional Version of the Kiefer-Wolfowitz Stochastic Approximation Algorithm. - Mark Broadie; Deniz M. Cicek; Assaf Zeevi (WSC, 2009)

On a Data-Driven Method for Staffing Large Call Centers. - Achal Bassamboo; Assaf Zeevi (Oper. Res., 2009)

Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms. - Omar Besbes; Assaf Zeevi (Oper. Res., 2009)

Pointwise Stationary Fluid Models for Stochastic Processing Networks. - Achal Bassamboo; J. Michael Harrison 001; Assaf Zeevi (Manuf. Serv. Oper. Manag., 2009)

Revenue maximization in reservation-based online advertising through dynamic inventory management. - Ana Radovanovic; Assaf Zeevi (Allerton, 2010)

Nonparametric Bandits with Covariates. - Philippe Rigollet; Assaf Zeevi (COLT, 2010)

Time-of-Use pricing policies for offering Cloud Computing as a service. - Denis Sauré; Anshul Sheopuri; Huiming Qu; Hani Jamjoom; Assaf Zeevi (SOLI, 2010)

Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited. - Achal Bassamboo; Ramandeep S. Randhawa; Assaf Zeevi (Manag. Sci., 2010)

Testing the Validity of a Demand Model: An Operations Perspective. - Omar Besbes; Robert Phillips; Assaf Zeevi (Manuf. Serv. Oper. Manag., 2010)

Revenue maximization through "smart" inventory management in reservation-based online advertising. - Ana Radovanovic; Assaf Zeevi (SIGMETRICS Perform. Evaluation Rev., 2010)

On the Minimax Complexity of Pricing in a Changing Environment. - Omar Besbes; Assaf Zeevi (Oper. Res., 2011)

General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm. - Mark Broadie; Deniz M. Cicek; Assaf Zeevi (Oper. Res., 2011)

A Note on Performance Limitations in Bandit Problems With Side Information. - Alexander Goldenshluger; Assaf Zeevi (IEEE Trans. Inf. Theory, 2011)

Blind Network Revenue Management. - Omar Besbes; Assaf Zeevi (Oper. Res., 2012)

Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution. - J. Michael Harrison 001; N. Bora Keskin; Assaf Zeevi (Manag. Sci., 2012)

Optimal Dynamic Assortment Planning with Demand Learning. - Denis Sauré; Assaf Zeevi (Manuf. Serv. Oper. Manag., 2013)

Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. - Yonatan Gur; Assaf Zeevi; Omar Besbes (NIPS, 2014)

Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards. - Omar Besbes; Yonatan Gur; Assaf Zeevi (CoRR, 2014)

Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies. - N. Bora Keskin; Assaf Zeevi (Oper. Res., 2014)

Multidimensional stochastic approximation: Adaptive algorithms and applications. - Mark Broadie; Deniz M. Cicek; Assaf Zeevi (ACM Trans. Model. Comput. Simul., 2014)

Online Time Series Prediction with Missing Data. - Oren Anava; Elad Hazan; Assaf Zeevi (ICML, 2015)

Non-Stationary Stochastic Optimization. - Omar Besbes; Yonatan Gur; Assaf Zeevi (Oper. Res., 2015)

On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning. - Omar Besbes; Assaf Zeevi (Manag. Sci., 2015)

A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (EC, 2016)

Tractable sampling strategies for quantile-based ordinal optimization. - Dongwook Shin; Mark Broadie; Assaf Zeevi (WSC, 2016)

Optimization in Online Content Recommendation Services: Beyond Click-Through Rates. - Omar Besbes; Yonatan Gur; Assaf Zeevi (Manuf. Serv. Oper. Manag., 2016)

On the tightness of an LP relaxation for rational optimization and its applications. - Vashist Avadhanula; Jalaj Bhandari; Vineet Goyal; Assaf Zeevi (Oper. Res. Lett., 2016)

Thompson Sampling for the MNL-Bandit. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (COLT, 2017)

Chasing Demand: Learning and Earning in a Changing Environment. - N. Bora Keskin; Assaf Zeevi (Math. Oper. Res., 2017)

A General Approach to Multi-Armed Bandits Under Risk Criteria. - Asaf B. Cassel; Shie Mannor; Assaf Zeevi (COLT, 2018)

On Incomplete Learning and Certainty-Equivalence Control. - N. Bora Keskin; Assaf Zeevi (Oper. Res., 2018)

Tractable Sampling Strategies for Ordinal Optimization. - Dongwook Shin; Mark Broadie; Assaf Zeevi (Oper. Res., 2018)

Optimal Price and Delay Differentiation in Large-Scale Queueing Systems. - Constantinos Maglaras; John Yao; Assaf Zeevi (Manag. Sci., 2018)

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (Oper. Res., 2019)

From Finite to Countable-Armed Bandits. - Anand Kalvit; Assaf Zeevi (NeurIPS, 2020)

Towards Problem-dependent Optimal Learning Rates. - Yunbei Xu; Assaf Zeevi (NeurIPS, 2020)

Discriminative Learning via Adaptive Questioning. - Achal Bassamboo; Vikas Deep; Sandeep Juneja 001; Assaf Zeevi (CoRR, 2020)

Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits. - Yunbei Xu; Assaf Zeevi (CoRR, 2020)

Learning to Stop with Surprisingly Few Samples. - Daniel Russo 001; Assaf Zeevi; Tianyi Zhang (COLT, 2021)

Sparsity-Agnostic Lasso Bandit. - Min-hwan Oh; Garud Iyengar; Assaf Zeevi (ICML, 2021)

A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms. - Anand Kalvit; Assaf Zeevi (NeurIPS, 2021)

Dynamic Pricing and Learning under the Bass Model. - Shipra Agrawal 001; Steven Yin; Assaf Zeevi (EC, 2021)

The Countable-armed Bandit with Vanishing Arms. - Anand Kalvit; Assaf Zeevi (CoRR, 2021)

Bandits with Dynamic Arm-acquisition Costs*. - Anand Kalvit; Assaf Zeevi (Allerton, 2022)

Online Allocation and Learning in the Presence of Strategic Agents. - Steven Yin; Shipra Agrawal 001; Assaf Zeevi (NeurIPS, 2022)

Exact Optimal Fixed Width Confidence Interval Estimation for the Mean. - Vikas Deep; Achal Bassamboo; Sandeep Juneja 001; Assaf Zeevi (WSC, 2022)

Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization. - Dongwook Shin; Mark Broadie; Assaf Zeevi (INFORMS J. Comput., 2022)

Optimal Stopping of a Random Sequence with Unknown Distribution. - Alexander Goldenshluger; Assaf Zeevi (Math. Oper. Res., 2022)

Dynamic Learning in Large Matching Markets. - Anand Kalvit; Assaf Zeevi (SIGMETRICS Perform. Evaluation Rev., 2022)

Complexity Analysis of a Countable-armed Bandit Problem. - Anand Kalvit; Assaf Zeevi (ALT, 2023)

Last Switch Dependent Bandits with Monotone Payoff Functions. - Ayoub Foussoul; Vineet Goyal; Orestis Papadigenopoulos; Assaf Zeevi (ICML, 2023)

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (ICML, 2023)

Bayesian Design Principles for Frequentist Sequential Learning. - Yunbei Xu; Assaf Zeevi (ICML, 2023)

Pareto Front Identification with Regret Minimization. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (CoRR, 2023)

MNL-Prophet: Sequential Assortment Selection under Uncertainty. - Vineet Goyal; Salal Humair; Orestis Papadigenopoulos; Assaf Zeevi (CoRR, 2023)

A General Framework for Bandit Problems Beyond Cumulative Objectives. - Asaf B. Cassel; Shie Mannor; Assaf Zeevi (Math. Oper. Res., 2023)

Dynamic Pricing with Online Reviews. - Dongwook Shin; Stefano Vaccari; Assaf Zeevi (Manag. Sci., 2023)

A Doubly Robust Approach to Sparse Reinforcement Learning. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2024)

Optimal single threshold stopping rules and sharp prophet inequalities. - Alexander Goldenshluger; Yaakov Malinovsky; Assaf Zeevi (CoRR, 2024)

Product Quality and Information Sharing in the Presence of Reviews. - Dongwook Shin; Assaf Zeevi (Manag. Sci., 2024)

Learning the Pareto Front Using Bootstrapped Observation Samples. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2025)

Feature Misspecification in Sequential Learning Problems. - Dohyun Ahn; Dongwook Shin; Assaf Zeevi (Manag. Sci., 2025)

Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory. - Yunbei Xu; Assaf Zeevi (Math. Oper. Res., 2025)

Linear Bandits with Partially Observable Features. - Wonyoung Kim; Sungwoo Park; Garud Iyengar; Assaf Zeevi; Min-hwan Oh (CoRR, 2025)

Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice. - Akshit Kumar; Tianyi Peng; Yuhang Wu; Assaf Zeevi (CoRR, 2025)