Computer Science Seminars CS201 Weekly Seminar Series | Coordinating Professor: Bolei Zhou | (held in: 3400 Boelter Hall, Tuesdays and/or Thursdays) Jon Postel Distinguished Lecture Series | (held in: Engineering 6 - 1st Floor - Mong Learning Center) (subject to availability) Dates: November 16, 2023, April 23, 2024 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 Choose Calendars --------------------------- From Full List --------------------------- From Current View     Seminars 2021 User: guest

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