ML-Seminar

  • Patrick Kidger, ''On Neural (Stochastic) Differential Equations'', June 06, 2021, [Slides]
  • Yu Gao, ''Schur complement of Graph Laplacian'', November 17, 2021, [Slides]
  • Ruta Mehta, ''Fair Division of Goods, Bads, and Mixed'', November 17, 2021, [Slides]
  • Muhao Chen, ''Understanding Event Processes in Natural Language'', September 29, 2021, [Slides]
  • Abolfazl Hashemi, ''Structured and Resource-Constrained Collaborative Learning'', September 22, 2021, [Slides]
  • Haque Ishfaq, ''Randomized Exploration for Reinforcement Learning'', September 8, 2021, [Slides]
  • David Abel, ''Abstraction in Reinforcement Learning'', July 14, 2021, [Slides]
  • Nima Hamidi, ''On Worst-Case Regret of Linear Thompson Sampling'', October 21, 2020, [Slides]
  • Amy Zhang, ''Learning Causal State Representations of Partially Observable Environments'', November 12, 2020, [Slides]
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