Past Program Activities

TFCS Program Seminar
May 11, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
May 10, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
May 5, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
May 4, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
May 3, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Writing Workshop: Write, Write, Write Some More...
Speaker: Siobhan Roberts (Science Communicator in Residence, Simons Institute)
Apr. 30, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
Tea Time
Apr. 28, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Apr. 27, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Apr. 26, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Apr. 21, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Apr. 20, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Apr. 19, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Apr. 14, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Apr. 13, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Apr. 12, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Apr. 7, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Apr. 6, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Apr. 5, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Mar. 31, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Mar. 30, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Mar. 29, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Mar. 24, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Mar. 23, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Mar. 22, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Mar. 17, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Mar. 16, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Mar. 15, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Mar. 10, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Mar. 9, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Mar. 8, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Mar. 3, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Mar. 2, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Mar. 1, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Feb. 24, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
TFCS Program Seminar
Feb. 23, 2021
Program: Theoretical Foundations of Computer Systems
SAT Program Seminar
Feb. 22, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Feb. 17, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
SAT Program Seminar
Feb. 15, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Feb. 10, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
SAT Program Seminar
Feb. 8, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Tea Time
Feb. 3, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
Tea Time
Jan. 27, 2021
Program: Theoretical Foundations of Computer Systems, Satisfiability: Theory, Practice, and Beyond
[TFCS] Town Hall
Jan. 22, 2021
Program: Theoretical Foundations of Computer Systems
[SAT] Town Hall
Jan. 21, 2021
Program: Satisfiability: Theory, Practice, and Beyond
Fellows Welcome Event
Jan. 20, 2021
Program: Satisfiability: Theory, Practice, and Beyond, Theoretical Foundations of Computer Systems
Discord Webinar
Jan. 19, 2021
Program: Satisfiability: Theory, Practice, and Beyond, Theoretical Foundations of Computer Systems
Spring 2021 Orientation
Jan. 14, 2021
Program: Satisfiability: Theory, Practice, and Beyond, Theoretical Foundations of Computer Systems
Reading Group: Causality and Econometrics
Dec. 18, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Dec. 16, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Dec. 16, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Dec. 11, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Dec. 9, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Dec. 9, 2020
Program: Theory of Reinforcement Learning
Inference on Random Factor Graphs
Speaker: Amin Coja-Oghlan, Goethe University
Dec. 8, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Writing About Technical Topics for a General Audience
Speaker: Brian Christian
Dec. 7, 2020
Program: Theory of Reinforcement Learning, Probability, Geometry, and Computation in High Dimensions
Reading Group: Causality and Econometrics
Dec. 4, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Dec. 2, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Dec. 2, 2020
Program: Theory of Reinforcement Learning
Computational/Statistical Gaps for Learning Neural Networks
Speaker: Adam Klivans (University of Texas, Austin)
Dec. 1, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Reading Group: Causality and Econometrics
Nov. 27, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Nov. 25, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Nov. 25, 2020
Program: Theory of Reinforcement Learning
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
Speaker: Simon S. Du (University of Washington)
Nov. 24, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Nov. 20, 2020
Program: Theory of Reinforcement Learning
Fellows Talk - Christina Yu
Speaker: Christina Yu (Cornell University)
Nov. 19, 2020
Program: Probability, Geometry, and Computation in High Dimensions, Theory of Reinforcement Learning
Open Problem Discussion
Nov. 18, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Nov. 18, 2020
Program: Theory of Reinforcement Learning
Black-Box Control for Linear Dynamical Systems
Speaker: Xinyi Chen (Google / Princeton)
Nov. 17, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Nov. 13, 2020
Program: Theory of Reinforcement Learning
Fellows Talk - Vidya Muthukumar
Speaker: Vidya Muthukumar (UC Berkeley)
Nov. 12, 2020
Program: Probability, Geometry, and Computation in High Dimensions, Theory of Reinforcement Learning
Open Problem Discussion
Nov. 11, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Nov. 11, 2020
Program: Theory of Reinforcement Learning
The Planted Matching Problem
Speaker: Cris Moore (Santa Fe Institute)
Nov. 10, 2020
Program: Probability, Geometry, and Computation in High Dimensions
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Speaker: Alekh Agarwal (Google / Princeton)
Nov. 10, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Nov. 6, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Nov. 4, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Nov. 4, 2020
Program: Theory of Reinforcement Learning
Work in Progress: a Structured Sampling Package
Speaker: Yin Tat Lee (University of Washington)
Nov. 3, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Corruption-Robust Exploration in Episodic Reinforcement Learning
Speaker: Thodoris Lykouris (Microsoft Research)
Nov. 3, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Oct. 30, 2020
Program: Theory of Reinforcement Learning
Fellows Talk: Vishesh Jain
Speaker: Vishesh Jain (UC Berkeley)
Oct. 29, 2020
Program: Probability, Geometry, and Computation in High Dimensions, Theory of Reinforcement Learning
Open Problem Discussion
Oct. 28, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Oct. 28, 2020
Program: Theory of Reinforcement Learning
Thin Shell Estimates for Maximal Affine Surface Area
Speaker: Elisabeth Werner (Case Western Reserve University)
Oct. 27, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Reading Group: Causality and Econometrics
Oct. 23, 2020
Program: Theory of Reinforcement Learning
Fellows Talk - Jalaj Bhandari
Speaker: Jalaj Bhandari (Columbia University)
Oct. 22, 2020
Program: Probability, Geometry, and Computation in High Dimensions, Theory of Reinforcement Learning
Open Problem Discussion
Oct. 21, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Oct. 21, 2020
Program: Theory of Reinforcement Learning
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Speaker: Marc Abeille (Criteo)
Oct. 20, 2020
Program: Theory of Reinforcement Learning
Reading Group: Causality and Econometrics
Oct. 16, 2020
Program: Theory of Reinforcement Learning
Fellows Talk - Tselil Schramm & Zhuoran Yang
Speaker: Tselil Schramm (Stanford University); Zhuoran Yang (Princeton University)
Oct. 15, 2020
Program: Probability, Geometry, and Computation in High Dimensions, Theory of Reinforcement Learning
Open Problem Discussion
Oct. 14, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Oct. 14, 2020
Program: Theory of Reinforcement Learning
On (Non-Traditional) Costs and Potentials
Speaker: Shiri Artstein (Tel-Aviv University)
Oct. 13, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Reading Group: Causality and Econometrics
Oct. 9, 2020
Program: Theory of Reinforcement Learning
Open Problem Discussion
Oct. 7, 2020
Program: Theory of Reinforcement Learning
Reading Group: Deep RL and Function Approximation
Oct. 7, 2020
Program: Theory of Reinforcement Learning
Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method
Speaker: Sam Hopkins, UC Berkeley
Oct. 6, 2020
Program: Probability, Geometry, and Computation in High Dimensions
Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning
Speaker: Yu-Xiang Wang (UC Santa Barbara)
Oct. 6, 2020
Program: Theory of Reinforcement Learning
On Distance Approximation for Graph Properties
Speaker: Dana Ron, Tel-Aviv University
Sep. 29, 2020
Program: Probability, Geometry, and Computation in High Dimensions

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