| ||||||
| ||||||
Seminars | ||||||
| ||||||
| 2021 | ||||||
|
|
|
|
||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||
|
Thursday, January 7, 2021 |
|||
|
|
Jan 7 |
4 p.m. - 5:45 p.m. |
CS 201: On Optimization and the Miracle of Linearity in Deep Learning, MIKHAIL BELKIN, UC SAN DIEGO
|
|
|
|||
|
Tuesday, January 12, 2021 |
|||
|
|
Jan 12 |
4 p.m. - 5:45 p.m. |
CS 201: Self-Distillation Amplifies Regularization in Hilbert Space, HOSSEIN MOBAHI, Google Research
|
|
|
|||
|
Thursday, January 14, 2021 |
|||
|
|
Jan 14 |
4 p.m. - 5:45 p.m. |
CS 201: A Phase Transition in Gradient Descent for Wide, Deep Neural Networks, YASAMAN BAHRI, Google Brain
|
|
|
|||
|
Tuesday, January 19, 2021 |
|||
|
|
Jan 19 |
4 p.m. - 5:45 p.m. |
CS 201: Challenges in Reliable Machine Learning, KAMALIKA CHAUDHURI, UC San Diego
|
|
|
|||
|
Thursday, January 21, 2021 |
|||
|
|
Jan 21 |
4 p.m. - 5:45 p.m. |
CS 201: The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems, BESMIRA NUSHI, Microsoft Research
|
|
|
|||
|
Tuesday, February 9, 2021 |
|||
|
|
Feb 9 |
4 p.m. - 5:45 p.m. |
CS 201: Accelerated Machine Learning for Computational Proteomics, JOHN HALLORAN, UC Davis
|
|
|
|||
|
Tuesday, February 16, 2021 |
|||
|
|
Feb 16 |
4 p.m. - 5:45 p.m. |
CS 201: Stochastic Optimization with Decision-Dependent Distributions, LIN XIAO, Facebook AI Research
|
|
|
|||
|
Tuesday, March 2, 2021 |
|||
|
|
Mar 2 |
4 p.m. - 5:45 p.m. |
CS 201: Feature Purification: How Can Adversarial Training Perform Robust Deep Learning, YUANZHI LI, Carnegie Mellon University
|
|
|
|||
|
Tuesday, March 9, 2021 |
|||
|
|
Mar 9 |
4 p.m. - 5:45 p.m. |
CS 201: What is Causal Inference? - A Logical Perspective, JUDEA PEARL, UCLA - Computer Science Department
|
|
|
|||
|
Tuesday, March 30, 2021 |
|||
|
|
Mar 30 |
4 p.m. - 5:45 p.m. |
CS 201: Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization, DANIEL ROY - BLAIR BILODEAU, University of Toronto
|
|
|
|||
|
Tuesday, April 6, 2021 |
|||
|
|
Apr 6 |
4 p.m. - 5:45 p.m. |
CS 201: Demystifying (Deep) Reinforcement Learning with Optimism and Pessimism, ZHAORAN WANG, Northwestern University
|
|
|
|||
|
Thursday, April 8, 2021 |
|||
|
|
Apr 8 |
4 p.m. - 5:45 p.m. |
CS 201: Derivative-Free Optimization of Noisy Functions, JORGE NOCEDAL, Northwestern University
|
|
|
|||
|
Tuesday, April 13, 2021 |
|||
|
|
Apr 13 |
4 p.m. - 5:45 p.m. |
CS 201: From Optimization Algorithms to Dynamical Systems and Back, RENE VIDAL, Johns Hopkins University
|
|
|
|||
|
Tuesday, April 27, 2021 |
|||
|
|
Apr 27 |
4 p.m. - 5:45 p.m. |
CS 201: Fairness in Financial Services, JIAHAO CHEN, JP Morgan AI Research
|
|
|
|||
|
Tuesday, May 4, 2021 |
|||
|
|
May 4 |
4 p.m. - 5:45 p.m. |
CS 201: Research in Online Ad Markets: Automation, Robustness, and Learning, VAHAB MIRROKNI, Google Research
|
|
|
|||
|
Tuesday, September 28, 2021 |
|||
|
|
Sep 28 |
4:15 p.m. - 5:45 p.m. |
BLOCKED OUT / NO CS 201 SEMINAR
|
|
|
|||
|
Thursday, September 30, 2021 |
|||
|
|
Sep 30 |
4:15 p.m. - 5:45 p.m. |
BLOCKED OUT / NO CS 201 SEMINAR
|
|
|
|||
|
Tuesday, October 5, 2021 |
|||
|
|
Oct 5 |
4:15 p.m. - 5:45 p.m. |
BLOCKED OUT / NO CS 201 SEMINAR
|
|
|
|||
|
Thursday, October 21, 2021 |
|||
|
|
Oct 21 |
4 p.m. - 4:45 p.m. |
CS 201: The Emergence Theory of Representation Learning, STEFANO SOATTO, UCLA - Computer Science Department
|
|
|
|||
|
Tuesday, October 26, 2021 |
|||
|
|
Oct 26 |
4:15 p.m. - 5:45 p.m. |
CS 201: Human Centered AI in Data Science, DAKUO WANG, IBM Research AI
|
|
|
|||
|
Tuesday, November 9, 2021 |
|||
|
|
Nov 9 |
4 p.m. - 5:45 p.m. |
CS 201: SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs, KARTHIK SRIHARAN, Cornell University
|
|
|
|||
|
Thursday, November 11, 2021 |
|||
|
|
Nov 11 |
4:15 p.m. - 5:45 p.m. |
CAMPUS HOLIDAY | NO SEMINAR
|
|
|
|||
|
Thursday, November 18, 2021 |
|||
|
|
Nov 18 |
4:15 p.m. - 5:45 p.m. |
CS 201: MCMC vs. Variational Inference - For Credible Learning and Decision Making at Scale, YIAN MA, UC San Diego
|
|
|
|||
|
Thursday, November 25, 2021 |
|||
|
|
Nov 25 |
4 p.m. - 5:45 p.m. |
CAMPUS HOLIDAY | NO SEMINAR
|
|
|
|||
|
Thursday, December 2, 2021 |
|||
|
|
Dec 2 |
4:15 p.m. - 5:45 p.m. |
CS 201: Building Accountable NLP Models: on Social Bias Detection and Mitigation, JIEYU ZHAO, UCLA - Computer Science
|