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Tuesday, January 14, 2020 |
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Jan 14 |
4:15 p.m. - 4:40 p.m. |
CS 201: Explainable AI: Making Visual Question Answering Systems More Transparent, RAYMOND J. MOONEY, University of Texas at Austin
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Tuesday, January 28, 2020 |
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Jan 28 |
4:15 p.m. - 5:45 p.m. |
CS 201: A Geometric Data Structure from Neuroscience, SANJOY DASGUPTA, UC San Diego
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Thursday, January 30, 2020 |
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Jan 30 |
4:15 p.m. - 5:45 p.m. |
CS 201: Quantum Temporal Logic, NENGKUN YU, University of Technology Sydney, Australia
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Tuesday, February 4, 2020 |
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Feb 4 |
4:15 p.m. - 5:45 p.m. |
CS 201: Robust Reinforcement Learning with Langevin Dynamics, VOLKAN CEVHER, EPFL
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Thursday, February 6, 2020 |
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Feb 6 |
4:15 p.m. - 5:45 p.m. |
CS 201: Combinatorial Optimization Algorithms for Clustering and Machine Learning, DORIT HOCHBAUM, UC Berkeley
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Tuesday, February 11, 2020 |
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Feb 11 |
4:15 p.m. - 5:45 p.m. |
CS 201: Reading the Invisible Library, W. BRENT SEALES, University of Kentucky
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Thursday, February 13, 2020 |
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Feb 13 |
4:15 p.m. - 5:45 p.m. |
CS 201: Big Data + Art: New Science Communication Tools to Understand Large Datasets, KIRELL BENZI, EFPL
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Tuesday, February 18, 2020 |
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Feb 18 |
4:15 p.m. - 5:45 p.m. |
CS 201: Extreme Classification: Efficient Algorithms and Evaluation Metrics, YASHOTEJA PRABHU, Microsoft Research India
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Thursday, February 20, 2020 |
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Feb 20 |
4:15 p.m. - 5:45 p.m. |
CS 201: Applications of CV Defense, VIBHAV ALTEKAR, Human Capital | Anduril
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Tuesday, February 25, 2020 |
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Feb 25 |
4:15 p.m. - 5:45 p.m. |
CS 201: Fairness and Bias in Algorithmic Decision-Making, JOHN KLEINBERG, Cornell University
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Thursday, February 27, 2020 |
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Feb 27 |
4:15 p.m. - 5:45 p.m. |
CS 201: Recent Progress on Model Based Reinforcement Learning, CSABA SZEPESVARI, University of Alberta
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Tuesday, March 3, 2020 |
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Mar 3 |
4:15 p.m. - 5:45 p.m. |
CS 201: Recovering Signals of Ghost Archaic DNA in African Populations, SRIRAM SANKARARAMAN, UCLA
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Thursday, March 5, 2020 |
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Mar 5 |
4:15 p.m. - 5:45 p.m. |
CS 201: Improving IoT Reliability and Security using Automated Model Extraction and Guided Analysis, TUBA YAVUZ, University of Florida
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Tuesday, May 12, 2020 |
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May 12 |
4 p.m. - 5:45 p.m. |
CS 201: Probabilistic Circuits: Inference, Representations, Learning and Theory, GUY VAN DEN BROECK - ANTONIO VERGARI, UCLA - Computer Science
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Thursday, May 14, 2020 |
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May 14 |
4 p.m. - 5:45 p.m. |
CS 201: Probabilistic Circuits: Learning and Theory, YOOJUNG CHOI - UCLA - Computer Science - ROBERT PEHARZ - TU Eindhoven
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Tuesday, May 26, 2020 |
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May 26 |
4:15 p.m. - 5:45 p.m. |
CS 201: Epidemic Model Guided Machine Learning for COVID-19 Forecasts, QUANQUAN GU, UCLA - Computer Science
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Tuesday, June 2, 2020 |
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Jun 2 |
4 p.m. - 5:45 p.m. |
CS 201: The DNS system: Attacks & Mitigations, YEHUDA AFEK, Tel-Aviv University
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Thursday, June 4, 2020 |
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Jun 4 |
4 p.m. - 5:45 p.m. |
CS 201: Thousand Eyes: a Startup Whose Journey Began at UCLA, MOHIT LAD - RICARDO OLIVEIRA, Thousand Eyes
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Tuesday, August 4, 2020 |
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Aug 4 |
4:15 p.m. - 5:45 p.m. |
CS 201- Jon Postel Distinguished Lecture: Reflecting on the Path from Punch Cards to Swarm Systems, a 40-Year Academic and Industrial Career, ALBERTO SANGIOVANNI-VINCENTELLI, UC Berleley
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Tuesday, October 6, 2020 |
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Oct 6 |
4 p.m. - 5:45 p.m. |
CS 201: ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning, MICHAEL MAHONEY, ICSI & Department of Statistics - UC Berkeley
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Tuesday, October 27, 2020 |
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Oct 27 |
4 p.m. - 5:45 p.m. |
CS 201: Off-policy Estimation in Long-horizon Reinforcement Learning, LIHONG LI, Amazon
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Thursday, November 5, 2020 |
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Nov 5 |
4 p.m. - 5:45 p.m. |
CS 201: Representation Learning and Exploration in Reinforcement Learning, AKSHAY KRISHNAMURTHY, Microsoft Research - New York
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Tuesday, November 10, 2020 |
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Nov 10 |
4 p.m. - 5:45 p.m. |
CS 201: Offline Reinforcement Learning via Optimization Lens, BO DAI, Google Brain
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Tuesday, November 17, 2020 |
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Nov 17 |
4 p.m. - 5:45 p.m. |
CS 201: On Fine-Tuning of Pretrained Language Models under Limited or Weak Supervision, TUO ZHAO, Georgia Tech & Engineering
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Thursday, November 19, 2020 |
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Nov 19 |
4 p.m. - 5:45 p.m. |
CS 201: Data, Detection, and Metrics for Autonomous Vehicles, OSCAR BEIJBOM, Motional
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Tuesday, November 24, 2020 |
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Nov 24 |
4 p.m. - 5:45 p.m. |
CS 201: NLP meets Database, CAIMING XIONG, Salesforce Research
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Tuesday, December 1, 2020 |
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Dec 1 |
4 p.m. - 5:45 p.m. |
CS 201: Computational / Statistical Gaps for Learning Neural Networks, ADAM KLIVANS, UT Austin
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Thursday, December 3, 2020 |
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Dec 3 |
4 p.m. - 5:45 p.m. |
CS 201: Common Sense Reasoning Through Causal Probabilistic Programming, ZENNA TAVARES, MIT
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