Concepedia

Daniel Russo

DR

21

Publications

1.9K

Citations

18

H-Index

2013

Active since

Affiliations

Columbia University(Current)

Stanford University

Management Sciences (United States)

Daniel Russo is an author at Columbia University specializing in engineering, computer science, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningData ScienceStatistical InferenceStochastic OptimizationArtificial IntelligenceManagementStatisticsDecision Theory

Publications per year

2013–2024

21

Publications

21

Learning to Optimize via Posterior Sampling

Daniel Russo, Benjamin Van Roy · Mathematics of Operations Research · 2014 · 532 citations

Model Optimization, Hyperparameter Estimation, Engineering +14

A Tutorial on Thompson Sampling

Daniel Russo, Benjamin Van Roy, Abbas Kazerouni et al. · Foundations and Trends® in Machine Learning · 2018 · 498 citations

Artificial Intelligence, Engineering, Machine Learning +21

Deep Exploration via Randomized Value Functions

Ian Osband, Benjamin Van Roy, Daniel Russo et al. · Journal of Machine Learning Research · 2019 · 119 citations

Artificial Intelligence, Reward Hacking, Engineering +11

Global Optimality Guarantees for Policy Gradient Methods

Jalaj Bhandari, Daniel Russo · Operations Research · 2024 · 112 citations

Markov Decision Process, Engineering, Machine Learning +15

How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage

Daniel Russo, James Zou · IEEE Transactions on Information Theory · 2019 · 99 citations

Engineering, Interactive Data Exploration, Information Seeking +22

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