Daniel Russo
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Reinforcement Learning in Robotics, Auction Theory and Applications, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Learning to Optimize via Posterior Sampling(2014)532 cited
- → A Tutorial on Thompson Sampling(2018)506 cited
- Deep Exploration via Randomized Value Functions(2019)
- → Global Optimality Guarantees for Policy Gradient Methods(2024)113 cited
- → How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage(2019)99 cited
- → An Information-Theoretic Analysis of Thompson Sampling(2014)57 cited
- → Asymptomatic rectal colonization with carbapenem-resistant Enterobacteriaceae and Clostridium difficile among residents of a long-term care facility in New York City(2016)45 cited
- → Improving the Expected Improvement Algorithm(2017)39 cited