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Monday, 04 January 2021
Time Speaker Title Resources
17:30 to 18:20 Shie Mannor (Technion - Israel Institute of Technology, Israel) Risk and robustness in Reinforcement Learning
18:30 to 19:20 Navin Goyal (Microsoft Research Bengaluru, India) Towards Analyzing Normalizing Flows
19:30 to 20:20 Mengdi Wang (Princeton University, New Jersey, US) Some theoretical results on model-based reinforcement learning
Tuesday, 05 January 2021
Time Speaker Title Resources
09:00 to 09:50 Joel Tropp (California Institute of Technology, California, US) Random products and quantum simulation
17:30 to 18:20 Rahul Roy (Indian Statistical Institute, Delhi, India) A non-planar random graph and its planar scaling limit
18:30 to 19:20 Anette Hosoi (Massachusetts Institute of Technology, Cambridge, US) Short Stories of Probability and Sports
19:30 to 20:20 Nike Sun (Massachusetts Institute of Technology, Cambridge, US) Phase transitions in random constraint satisfaction problems.
Wednesday, 06 January 2021
Time Speaker Title Resources
17:30 to 18:20 Gabor Lugosi (Pompeu Fabra University, Barcelona, Spain) Root finding and broadcasting in random recursive trees
18:30 to 19:20 Subhajit Goswami (TIFR, Mumbai, India) Adaptive Estimation via Optimal Decision Trees
19:30 to 20:20 Alexander Rakhlin (Massachusetts Institute of Technology, Cambridge, US) Is Memorization Compatible with Learning?
Thursday, 07 January 2021
Time Speaker Title Resources
18:30 to 19:20 Alexandre Proutiere (KTH Royal Institute of Technology, Stockholm, Sweden) Fastest Identification in Linear Systems
19:30 to 20:20 Santosh Vempala (Georgia Institute of Technology, Atlanta, US) Reducing Isotropy to KLS: An Almost Cubic Volume Algorithm
22:00 to 22:50 Nima Anari (Stanford University, California, US) Fractionally Log-Concave and Sector-Stable Polynomials
Friday, 08 January 2021
Time Speaker Title Resources
17:30 to 18:20 Gareth Roberts (University of Warwick, Coventry, UK) The Monte Carlo Fusion problem
18:30 to 19:20 Natesh Pillai (Harvard University, Cambridge, US) Accelerating MCMC for Computationally Intensive Models
19:30 to 20:20 Jon Mattingly (Duke University, Durham, US) Evaluating Fairness in Redistricting