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12-26
2018
Understanding the Generalization Performance of Non-Convex Methods in Machine Learning
Speaker: Hongyang Zhang Stanford University Time: 2018-12-26 14:00-2018-12-26 15:00 Venue: FIT 1-222 Abstract: Non-convex optimization is the predominant method of choice for training machine learn...
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12-25
2018
Understanding Optimization and Generalization in Deep Learning: A Trajectory-based Analysis
Speaker: Simon Shaolei Du Carnegie Mellon University Time: 2018-12-25 10:10-2018-12-25 11:10 Venue: FIT 1-222 Abstract: In this talk, I will present recent progress on understanding deep neural net...
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12-24
2018
Provable Algorithms for Statistical Challenges in Data Driven Decision Making
Speaker: Yuhao Wang MIT Time: 2018-12-24 14:00-2018-12-24 15:00 Venue: FIT 1-222 Abstract: Data-driven decision making is now becoming increasingly important in various disciplines, including heal...
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12-18
2018
Understanding and Improving Generalization in ML and RL
Speaker: Tengyu Ma Stanford University Time: 2018-12-18 16:10-2018-12-18 17:10 Venue: FIT 1-222 Abstract: Sample efficiency is increasingly vital in ML and AI, as we aim for higher accuracies with...
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12-18
2018
Byzantine Agreement with Optimal Resilience, Communication, and Round Complexity
Speaker: Ling Ren University of Illinois, Urbana-Champaign Time: 2018-12-18 14:00-2018-12-18 15:30 Venue: FIT 1-222 Abstract: The boom of decentralized cryptocurrency revived interests in the class...
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12-18
2018
Quantum simulations with strongly interacting photons: Simulating exotic phases of matter and applications in quantum technology
Speaker: Dimitris G. Angelakis National University of Singapore Time: 2018-12-18 10:00-2018-12-18 12:00 Venue: MMW S327 Abstract: Classical computers require enormous computing power and memory to...