Assaf Zeevi

According to our database, Assaf Zeevi authored at least 76 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Product Quality and Information Sharing in the Presence of Reviews.

Dongwook Shin, Assaf Zeevi

Manag. Sci., 2024

Optimal single threshold stopping rules and sharp prophet inequalities.

Alexander Goldenshluger, Yaakov Malinovsky, Assaf Zeevi

CoRR, 2024

A Doubly Robust Approach to Sparse Reinforcement Learning.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Dynamic Pricing with Online Reviews.

Dongwook Shin, Stefano Vaccari, Assaf Zeevi

Manag. Sci., February, 2023

MNL-Prophet: Sequential Assortment Selection under Uncertainty.

Vineet Goyal, Salal Humair, Orestis Papadigenopoulos, Assaf Zeevi

CoRR, 2023

Pareto Front Identification with Regret Minimization.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

CoRR, 2023

Bayesian Design Principles for Frequentist Sequential Learning.

Yunbei Xu, Assaf Zeevi

Proceedings of the International Conference on Machine Learning, 2023

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

Proceedings of the International Conference on Machine Learning, 2023

Last Switch Dependent Bandits with Monotone Payoff Functions.

Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi

Proceedings of the International Conference on Machine Learning, 2023

Complexity Analysis of a Countable-armed Bandit Problem.

Anand Kalvit, Assaf Zeevi

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Dynamic Learning in Large Matching Markets.

Anand Kalvit, Assaf Zeevi

SIGMETRICS Perform. Evaluation Rev., August, 2022

Optimal Stopping of a Random Sequence with Unknown Distribution.

Alexander Goldenshluger, Assaf Zeevi

Math. Oper. Res., 2022

Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization.

Dongwook Shin, Mark Broadie, Assaf Zeevi

INFORMS J. Comput., 2022

Exact Optimal Fixed Width Confidence Interval Estimation for the Mean.

Vikas Deep, Achal Bassamboo, Sandeep Juneja, Assaf Zeevi

Proceedings of the Winter Simulation Conference, 2022

Online Allocation and Learning in the Presence of Strategic Agents.

Steven Yin, Shipra Agrawal, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bandits with Dynamic Arm-acquisition Costs^*.

Anand Kalvit, Assaf Zeevi

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

The Countable-armed Bandit with Vanishing Arms.

Anand Kalvit, Assaf Zeevi

CoRR, 2021

Dynamic Pricing and Learning under the Bass Model.

Shipra Agrawal, Steven Yin, Assaf Zeevi

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms.

Anand Kalvit, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sparsity-Agnostic Lasso Bandit.

Min-hwan Oh, Garud Iyengar, Assaf Zeevi

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Stop with Surprisingly Few Samples.

Daniel Russo, Assaf Zeevi, Tianyi Zhang

Proceedings of the Conference on Learning Theory, 2021

2020

Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory.

Yunbei Xu, Assaf Zeevi

CoRR, 2020

Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits.

Yunbei Xu, Assaf Zeevi

CoRR, 2020

Discriminative Learning via Adaptive Questioning.

Achal Bassamboo, Vikas Deep, Sandeep Juneja, Assaf Zeevi

CoRR, 2020

Towards Problem-dependent Optimal Learning Rates.

Yunbei Xu, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

From Finite to Countable-Armed Bandits.

Anand Kalvit, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Oper. Res., 2019

2018

Optimal Price and Delay Differentiation in Large-Scale Queueing Systems.

Constantinos Maglaras, John Yao, Assaf Zeevi

Manag. Sci., 2018

Tractable Sampling Strategies for Ordinal Optimization.

Dongwook Shin, Mark Broadie, Assaf Zeevi

Oper. Res., 2018

On Incomplete Learning and Certainty-Equivalence Control.

N. Bora Keskin, Assaf Zeevi

Oper. Res., 2018

A General Approach to Multi-Armed Bandits Under Risk Criteria.

Asaf B. Cassel, Shie Mannor, Assaf Zeevi

Proceedings of the Conference On Learning Theory, 2018

2017

Chasing Demand: Learning and Earning in a Changing Environment.

N. Bora Keskin, Assaf Zeevi

Math. Oper. Res., 2017

Thompson Sampling for the MNL-Bandit.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Proceedings of the 30th Conference on Learning Theory, 2017

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

Optimization in Online Content Recommendation Services: Beyond Click-Through Rates.

Omar Besbes, Yonatan Gur, Assaf Zeevi

Manuf. Serv. Oper. Manag., 2016

Tractable sampling strategies for quantile-based ordinal optimization.

Dongwook Shin, Mark Broadie, Assaf Zeevi

Proceedings of the Winter Simulation Conference, 2016

A Near-Optimal Exploration-Exploitation Approach for Assortment Selection.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2015

On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning.

Omar Besbes, Assaf Zeevi

Manag. Sci., 2015

Non-Stationary Stochastic Optimization.

Omar Besbes, Yonatan Gur, Assaf Zeevi

Oper. Res., 2015

Online Time Series Prediction with Missing Data.

Oren Anava, Elad Hazan, Assaf Zeevi

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Multidimensional stochastic approximation: Adaptive algorithms and applications.

Mark Broadie, Deniz M. Cicek, Assaf Zeevi

ACM Trans. Model. Comput. Simul., 2014

Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies.

N. Bora Keskin, Assaf Zeevi

Oper. Res., 2014

Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards.

Omar Besbes, Yonatan Gur, Assaf Zeevi

CoRR, 2014

Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards.

Yonatan Gur, Assaf Zeevi, Omar Besbes

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Optimal Dynamic Assortment Planning with Demand Learning.

Denis Sauré, Assaf Zeevi

Manuf. Serv. Oper. Manag., 2013

2012

Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution.

J. Michael Harrison, N. Bora Keskin, Assaf Zeevi

Manag. Sci., 2012

Blind Network Revenue Management.

Omar Besbes, Assaf Zeevi

Oper. Res., 2012

2011

A Note on Performance Limitations in Bandit Problems With Side Information.

Alexander Goldenshluger, Assaf Zeevi

IEEE Trans. Inf. Theory, 2011

General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm.

Mark Broadie, Deniz M. Cicek, Assaf Zeevi

Oper. Res., 2011

On the Minimax Complexity of Pricing in a Changing Environment.

Omar Besbes, Assaf Zeevi

Oper. Res., 2011

2010

Revenue maximization through "smart" inventory management in reservation-based online advertising.

Ana Radovanovic, Assaf Zeevi

SIGMETRICS Perform. Evaluation Rev., 2010

Testing the Validity of a Demand Model: An Operations Perspective.

Omar Besbes, Robert Phillips, Assaf Zeevi

Manuf. Serv. Oper. Manag., 2010

Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited.

Achal Bassamboo, Ramandeep S. Randhawa, Assaf Zeevi

Manag. Sci., 2010

Time-of-Use pricing policies for offering Cloud Computing as a service.

Denis Sauré, Anshul Sheopuri, Huiming Qu, Hani Jamjoom, Assaf Zeevi

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010

Nonparametric Bandits with Covariates.

Philippe Rigollet, Assaf Zeevi

Proceedings of the COLT 2010, 2010

Revenue maximization in reservation-based online advertising through dynamic inventory management.

Ana Radovanovic, Assaf Zeevi

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Pointwise Stationary Fluid Models for Stochastic Processing Networks.

Achal Bassamboo, J. Michael Harrison, Assaf Zeevi

Manuf. Serv. Oper. Manag., 2009

Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms.

Omar Besbes, Assaf Zeevi

Oper. Res., 2009

On a Data-Driven Method for Staffing Large Call Centers.

Achal Bassamboo, Assaf Zeevi

Oper. Res., 2009

An Adaptive Multidimensional Version of the Kiefer-Wolfowitz Stochastic Approximation Algorithm.

Mark Broadie, Deniz M. Cicek, Assaf Zeevi

Proceedings of the 2009 Winter Simulation Conference, 2009

2008

Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation.

Achal Bassamboo, Sandeep Juneja, Assaf Zeevi

Oper. Res., 2008

2007

On the inefficiency of state-independent importance sampling in the presence of heavy tails.

Achal Bassamboo, Sandeep Juneja, Assaf Zeevi

Oper. Res. Lett., 2007

Implications of heavy tails on simulation-based ordinal optimization.

Mark Broadie, Minsup Han, Assaf Zeevi

Proceedings of the Winter Simulation Conference, 2007

2006

Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method.

Achal Bassamboo, J. Michael Harrison, Assaf Zeevi

Oper. Res., 2006

2005

Dynamic Routing and Admission Control in High-Volume Service Systems: Asymptotic Analysis via Multi-Scale Fluid Limits.

Achal Bassamboo, J. Michael Harrison, Assaf Zeevi

Queueing Syst. Theory Appl., 2005

A Method for Staffing Large Call Centers Based on Stochastic Fluid Models.

J. Michael Harrison, Assaf Zeevi

Manuf. Serv. Oper. Manag., 2005

Pricing and Design of Differentiated Services: Approximate Analysis and Structural Insights.

Constantinos Maglaras, Assaf Zeevi

Oper. Res., 2005

Expected shortfall in credit portfolios with extremal dependence.

Achal Bassamboo, Sandeep Juneja, Assaf Zeevi

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

Importance sampling simulation in the presence of heavy tails.

Achal Bassamboo, Sandeep Juneja, Assaf Zeevi

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

2004

Diffusion Approximations for a Multiclass Markovian Service System with "Guaranteed" and "Best-Effort" Service Levels.

Constantinos Maglaras, Assaf Zeevi

Math. Oper. Res., 2004

Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Heavy Traffic Regime.

J. Michael Harrison, Assaf Zeevi

Oper. Res., 2004

2003

Pricing and Capacity Sizing for Systems with Shared Resources: Approximate Solutions and Scaling Relations.

Constantinos Maglaras, Assaf Zeevi

Manag. Sci., 2003

1998

Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts.

Assaf J. Zeevi, Ron Meir, Vitaly Maiorov

IEEE Trans. Inf. Theory, 1998

On the Performance of Vector Quantizers Empirically Designed from Dependent Sources.

Assaf J. Zeevi

Proceedings of the Data Compression Conference, 1998

1997

Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds.

Assaf J. Zeevi, Ronny Meir

Neural Networks, 1997

1996

Time Series Prediction using Mixtures of Experts.

Assaf J. Zeevi, Ron Meir, Robert J. Adler

Proceedings of the Advances in Neural Information Processing Systems 9, 1996