Playlist: 20 videos

Optimization, Statistics and Uncertainty

This workshop aims to explore the emerging connections between optimization, statistics and machine learning. It will discuss ties, both well-known and anticipated, between optimization and various approaches to modeling, reasoning about and coping...

0:36:37

Low-rank Matrix Completion: Adaptive Sampling Can Help When, How?

Rachel Ward, University of Texas at Austin
https://simons.berkeley.edu/talks/rachel-ward-11-29-17
Optimization, Statistics and Uncertainty
Visit talk page
1:1:40

Graph Powering

Emmanuel Abbe, Princeton University
https://simons.berkeley.edu/talks/emmanuel-abbe-11-30-17
Optimization, Statistics and Uncertainty
Visit talk page
0:30:28

On Approximation Guarantees for Greedy Low Rank Optimization

Sahand Negahban, Yale University
https://simons.berkeley.edu/talks/sahand-neghaban-11-30-17
Optimization, Statistics and Uncertainty
Visit talk page
0:29:53

Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe

Quentin Berthet, University of Cambridge
https://simons.berkeley.edu/talks/tba
Optimization, Statistics and Uncertainty
Visit talk page
1:1:19

Optimization's Untold Gift to Learning: Implicit Regularization

Nathan Srebro Bartom, Toyota Technological Institute at Chicago
https://simons.berkeley.edu/talks/nati-srebro-bartom-11-30-17
Optimization Statistics and Uncertainty
Visit talk page
0:32:33

The Power and Limitations of Kernel Learning

Misha Belkin, Ohio State University
https://simons.berkeley.edu/talks/misha-belkin-11-30-17
Optimization, Statistics and Uncertainty
Visit talk page
0:29:27

Sampling Algorithms for Combinatorial Pure Exploration

Anupam Gupta, Carnegie Mellon University
https://simons.berkeley.edu/talks/anupam-gupta-11-30-17
Optimization, Statistics and Uncertainty
Visit talk page
0:59:7

Compositional Properties of Statistical Procedures: An Information-Theoretic View

Max Raginsky, University of Illinois at Urbana-Champaign
https://simons.berkeley.edu/talks/max-raginsky-11-28-17
Optimization, Statistics and Uncertainty
Visit talk page
0:28:2

Stability and Convergence Trade-Off of Iterative Optimization Algorithms

Bin Yu, UC Berkeley
https://simons.berkeley.edu/talks/bin-yu-12-1-17
Optimization, Statistics and Uncertainty
Visit talk page
0:30:14

Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained Empirical Risk Minimization

Katrina Ligett, Hebrew University of Jerusalem
https://simons.berkeley.edu/talks/katrina-ligett-12-1-17
Optimization, Statistics and Uncertainty
Visit talk page