Invited Talks

  • Learning to Make Statistical and Strategic Decisions with Imperfect Data
    IBM Research, Dec 14th, 2018

  • Offline Multi-Action Policy Learning: Generalization and Optimization
    NVIDIA Research, Nov 26th, 2018

  • Offline Multi-Action Policy Learning: Generalization and Optimization
    ByteDance, Nov 20th, 2018

  • Multi-Agent Online Learning under Imperfect Information
    Applied Probability in Machine Learning and Optimization, INFORMS, Nov 7th, 2018

  • Offline Multi-Action Policy Learning: Generalization and Optimization
    INFORMS George Nicholson Award Talk, Nov 4th, 2018 (award finalist)

  • Offline Multi-Action Policy Learning: Generalization and Optimization
    Cornell Young Researchers Workshop, Cornell University, Oct 11th, 2018

  • Data-Driven Policy Learning: Generalization and Optimization
    Information Theory Forum, Stanford University, Oct 5th, 2018

  • Distributed Asynchronous Stochastic Optimization with Unbounded Delays: How Slow Can You Go?
    Mechanical Engineering Seminar, Michigan State University, March 13th, 2018

  • Multi-Agent Online Learning under Imperfect Information: Algorithms, Theory and Applications
    George Nicholson Award Talk, INFORMS, Oct 22nd, 2017 (award finalist)

  • Multi-Agent Online Learning under Imperfect Information: Algorithms, Theory and Applications
    Applied Probability Society Award Talk, INFORMS, Oct 22nd, 2017 (award finalist)

  • Scheduling on Queues under Imperfect Information: Stability and Robustness
    Scheduling & Queueing, INFORMS, Oct 24th, 2017

  • Improving Predictions of Pediatric Surgical Durations with Supervised Learning
    Stochastic Models in Health Systems Engineering, INFORMS, Oct 22nd, 2017

  • Multi-Agent Online Learning under Imperfect Information: Algorithms, Theory and Applications
    Operations Research Seminar, Department of Management Science and Engineering, Stanford.
    Joint with Information Theory Forum, Department of Electrical Engineering, Stanford University, Oct. 6th, 2017

  • Distributed Large-Scale Machine Learning under Non-Convex Objectives via Stochastic Mirror Descent
    Cloud AI Research Seminar, Google, August 24th, 2017

  • An Infinite Dimensional Model for a Many Server Priority Queue
    51st Annual Conference on Information Sciences and Systems, John Hopkins University, March 22nd, 2017

  • Wireless Communications Game in Fixed and Random Environments
    CSL Student Conference, University of Illinois at Urbana-Champaign, Feb 19th, 2016