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  • Daniel Russo
    Daniel Russo : Philip H Geier Jr Associate Professor at Columbia Business School djr2174@gsb columbia edu Google Scholar Profile Linkedin profile About Me I an associate professor in the Decision, Risk, and Operations division of the Columbia Business School I teach a core MBA course on statistics and a PhD course on dynamic
  • Daniel Russo – Research - GitHub Pages
    David Cheikhi and Daniel Russo ICML 2023 Full oral presentation at ICML (top 2 2% of submissions) Finalist in INFORMS APS student paper competition Approximation Benefits of Policy Gradient Methods with Aggregated States Daniel Russo Management Science, 2023 Temporally-Consistent Survival Analysis Lucas Maystre and Daniel Russo Neurips 2022
  • Daniel Russo – Updated August 19 2024
    Daniel Russo Updated August 19 2024 Columbia Business School, Kravis Hall 976 665 W 130th Street, New York, NY 10027 B djr2174@gsb columbia edu ˝ djrusso github io Field of Specialization
  • Dynamic Programming and Reinforcement Learning - GitHub Pages
    Instructor: Daniel Russo Contact: djr2174@gsb columbia edu Location: 330 Uris until October 16, Grace Dodge Hall 363 thereafter Office Hours: 418 Uris, Thursday 2:00-3:00 PM TA Info: Francisco Castro will have office hours Mondays 12:00-1:00 in cubicle 4R Uris hall
  • Daniel Russo – Talk Videos - GitHub Pages
    Daniel Russo – Talk Videos Disclaimer: These talks are mostly tailored to machine leanring audiences, because that community has a culture of recording acdemic talks Adaptivity and Confounding in Multi-Armed Bandit Experiments
  • Daniel Russo – Teaching - GitHub Pages
    Daniel Russo – Teaching Columbia Courses PhD course on Dynamic Optimization and Foundations of Reinforcement Learning B6100 - Managerial Statistics (MBA core course) Kellogg Courses Spring 2017: OPNS530 - Learning in Sequential Decision Making (PhD topics course)
  • Daniel Russo - GitHub Pages
    Russo and Van Roy: Learning to Optimize via Posterior Sampling Mathematics of Operations Research 39(4), pp 1221–1243, ©2014 INFORMS 1223 2 2 Related results Though it was first proposed in 1933, posterior sampling has until recently received relatively little attention
  • Operations Research - GitHub Pages
    Daniel Russo To cite this article: Daniel Russo (2020) Simple Bayesian Algorithms for Best-Arm Identification Operations Research 68(6):1625-1647 https: doi org 10 1287 opre 2019 1911 Full terms and conditions of use: https: pubsonline informs org Publications Librarians-Portal PubsOnLine-Terms-and-Conditions
  • Dynamic programming and Optimal Control - Dynamic-Optimization-Course
    Professor: Daniel Russo Office hours: 12:15-1:00 PM or by appointment TA: David Cheikhi Course Number: B9120-001 Course description: This course serves as an advanced introduction to dynamic programming and optimal control
  • Dynamic Programming and Reinforcement Learning - GitHub Pages
    Daniel Russo (Columbia) Fall 2017 10 34 Warning 1 This is an advanced PhD course 2 It will be primarily theoretical We will prove theorems when we can The emphasis will be on precise understand of why methods work and why they may fail completely in simple cases





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