World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
7301
World Ranking
1903
National Ranking
812

Engineering and Technology

D-Index
41
Citations
7330
World Ranking
6918
National Ranking
1888

Research.com Recognitions

  • 2020 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Assaf Zeevi is affiliated with Columbia University in the United States. Their primary fields of study include Decision Sciences and Computer Science, with a focus on several specialized subfields such as Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Management Information Systems, and Marketing.

The main topics covered in their research encompass Advanced Bandit Algorithms Research, Auction Theory and Applications, Optimization and Search Problems, Machine Learning and Algorithms, Reinforcement Learning in Robotics, Supply Chain and Inventory Management, and Consumer Market Behavior and Pricing.

Zeevi has contributed to a range of scholarly publications, with recent papers including:

  • "Dynamic Pricing with Online Reviews" (2022, Management Science)
  • "Product Quality and Information Sharing in the Presence of Reviews" (2023, Management Science)
  • "A General Framework for Bandit Problems Beyond Cumulative Objectives" (2023, Mathematics of Operations Research)
  • "Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization" (2021, INFORMS Journal on Computing)
  • "Optimal Stopping of a Random Sequence with Unknown Distribution" (2021, Mathematics of Operations Research)

Their frequent co-authors include:

  • D. W. Shin
  • Yunbei Xu
  • Anand Kalvit
  • Garud Iyengar
  • Vineet Goyal

Zeevi's work has appeared in a variety of publication venues, the most frequent being:

  • arXiv (Cornell University)
  • Mathematics of Operations Research
  • Management Science
  • SSRN Electronic Journal
  • INFORMS Journal on Computing

In recognition of their work, Assaf Zeevi was named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2020.

Best Publications

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

    Omar Besbes;Assaf Zeevi

  • Non-Stationary Stochastic Optimization

    Omar Besbes;Yonatan Gur;Assaf J. Zeevi

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

    N. Bora Keskin;Assaf Zeevi

  • Security of quantum key distribution with entangled photons against individual attacks

    Edo Waks;Assaf Zeevi;Yoshihisa Yamamoto

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

    Omar Besbes;Yonatan Gur;Assaf Zeevi

  • Beyond Correlation: Extreme Co-movements Between Financial Assets

    Assaf Zeevi;Roy Mashal

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

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

  • On the Surprising Sufficiency of Linear Models for Dynamic Pricing with Demand Learning

    Omar Besbes;Assaf Zeevi

  • Optimal Dynamic Assortment Planning with Demand Learning

    Denis Sauré;Assaf Zeevi

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

    J. Michael Harrison;Assaf Zeevi

  • Validity of heavy traffic steady-state approximations in generalized Jackson networks

    David Gamarnik;Assaf Zeevi

  • Blind Network Revenue Management

    Omar Besbes;Assaf Zeevi

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

    Achal Bassamboo;J. Michael Harrison;Assaf Zeevi

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

    J. Michael Harrison;Assaf Zeevi

  • Chasing Demand: Learning and Earning in a Changing Environment

    N. Bora Keskin;Assaf Zeevi

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

    Shipra Agrawal;Vashist Avadhanula;Vineet Goyal;Assaf Zeevi

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

    Achal Bassamboo;Sandeep Juneja;Assaf Zeevi

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

    Constantinos Maglaras;Assaf Zeevi

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

    Constantinos Maglaras;Assaf Zeevi

  • Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited

    Achal Bassamboo;Ramandeep S. Randhawa;Assaf Zeevi

Frequent Co-Authors

Peter W. Glynn
Peter W. Glynn Stanford University
J. Michael Harrison
J. Michael Harrison Stanford University
Mark Broadie
Mark Broadie Columbia University
Alexandre B. Tsybakov
Alexandre B. Tsybakov École Nationale de la Statistique et de l'Administration Économique
Ron Meir
Ron Meir Technion – Israel Institute of Technology
Anatoli Juditsky
Anatoli Juditsky Grenoble Alpes University
Shie Mannor
Shie Mannor Technion – Israel Institute of Technology
Edo Waks
Edo Waks University of Maryland, College Park

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