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Postdoc

  • Yale Theory Student Seminar: Jane Shi (MIT)

    This is a place for theory-minded people to gather for a weekly lunch seminar. This semester (spring 24), we (mostly) meet on Thursdays at […]

  • FDS Seminar: Aditi Laddha (GA Tech)

    “High-Dimensional Markov Chains and Applications” Abstract: A Markov chain is a random process in which the next state is chosen according to some probability […]

  • FDS Seminar: Gaurav Mahajan (UCSD)

    “Computational-Statistical Gaps in Reinforcement Learning” Speaker: Gaurav Mahajan (UCSD) Abstract: A fundamental assumption in theory of reinforcement learning is “RL with linear function approximation”. […]

  • FDS Seminar: Ming Yin (UCSB)

    “Instance-Adaptive and Optimal Offline Reinforcement Learning” Speaker: Ming Yin (UCSB) Abstract: Reinforcement Learning is becoming the mainstay of sequential decision-making problems. In particular, offline […]

  • S&DS Seminar: Edward De Brouwer (KU Leuven)

    “Predicting the impact of treatments over time with uncertainty aware neural differential equations” Speaker: Edward De Brouwer (KU Leuven) Talk Abstract: Predicting the impact […]

  • FDS Seminar: Alkis Kalavasis (National Technical University of Athens)

    “Efficient Algorithms and Computational Barriers in Reliable Machine Learning” Speaker: Alkis KalavasisNational Technical University of Athens Abstract: In this talk, we will discuss the […]

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