David Simchi-Levi
Management Science and Operations Research · 2000–2021
A researcher in the Science corpus: 16 papers; trusts 40 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 37 citations into it; #1,950 of 11,946 by trust here, #1,613 by citations
- Management Information Systems — 25 citations into it; #277 of 3,376 by trust here, #231 by citations
- Artificial Intelligence — 23 citations into it; #28,758 of 35,345 by trust here, #29,412 by citations
- Reinforcement Learning — 20 citations into it
- Marketing — 17 citations into it; #2,469 of 6,289 by trust here, #3,003 by citations
- Strategy and Management — 13 citations into it; #2,411 of 10,874 by trust here, #3,524 by citations
- Statistics and Probability — 10 citations into it
- Control and Systems Engineering — 8 citations into it; #6,574 of 8,257 by trust here, #6,083 by citations
Whom David Simchi-Levi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolò Cesa-Bianchi
- Peter Auer
- Alper Atamtürk
- Bo Zeng
- Aharon Ben-Tal
- Dimitris J. Bertsimas
- Virginie Gabrel
- Ofer Dekel
- Brian Tomlin
- Aurélien Garivier
Who trusts David Simchi-Levi overall
- Pranjal Awasthi
- Dimitris J. Bertsimas
- Dmitry A. Ivanov
- Corinna Cortes
- Velibor V. Misic
- Ahmed Touati
- Gökçe Palak
- Ali H. Diabat
- Stephen M. Disney
- Andreas Wieland
Papers from David Simchi-Levi's perspective
Ordered by how strongly the researchers David Simchi-Levi trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Near-optimal Regret Bounds for Reinforcement Learning
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nonstochastic Multiarmed Bandit Problem
- Finite-time Analysis of the Multiarmed Bandit Problem
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Probability Inequalities for Sums of Bounded Random Variables
- Optimal Adaptive Policies for Markov Decision Processes
Their papers
- Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism (2020) — 122 citations
- Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2016) — 505 citations
- Mean‐variance trade‐offs in supply contracts (2006) — 89 citations
- The impact of exponential smoothing forecasts on the bullwhip effect (2000) — 479 citations
- Risk Aversion in Inventory Management (2007) — 357 citations
- Increasing Supply Chain Robustness through Process Flexibility and Inventory (2018) — 232 citations
- Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs (2021) — 49 citations
- L G ] 2 6 M ay 2 01 9 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints (2019)
- A carbon-capped supply chain network problem (2009) — 160 citations
- Designing and managing the supply chain : concepts, strategies, and case studies (2007) — 1,667 citations
- Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case (2004) — 463 citations
- Coordination of Pricing and Inventory Decisions: A Survey and Classification (2004) — 338 citations
- Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era (International Series in Operations Research & Management Science) (2004) — 398 citations
- Managing the Supply Chain: The Definitive Guide for the Business Professional (2003) — 372 citations
- Production and Distribution Lot Sizing in a Two Stage Supply Chain (2003) — 120 citations
- Minimax Analysis for Finite-horizon Inventory Models (2001) — 53 citations