Learning the Best Agorithm for Max-Cut, Clustering, and Other​ ​Partitioning Problems

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=9O1Tc2pp0E0


Duration: 32:37
1,414 views
15

Vaishnavh Nagarajan, Carnegie Mellon University
https://simons.berkeley.edu/talks/vaishnavh-nagarajan-2016-11-16
Learning, Algorithm Design and Beyond Worst-Case Analysis



Other Videos By Simons Institute for the Theory of Computing


2016-11-18Automated Scientific Discovery Using Insights from Problem Structure
2016-11-17Sketching and Randomization for Distributed Submodular and Coverage Optimization
2016-11-17When Does Clustering Become Easy, and Should We Care About Other Cases?
2016-11-17Follow the Leader with Dropout Perturbations
2016-11-17Beyond Worst Case: When Complex Feedback Can Improve the Label Complexity of Active Learning
2016-11-17Characterizing the Typical Case Complexity of Formal Verification and Synthesis
2016-11-17Recovery Guarantee of Non-Negative Matrix Factorization via Alternating Updates
2016-11-17The Logic of Counting Query Answers
2016-11-16The Computational Benefit of Correlated Instances
2016-11-16Learning as a Tool for Algorithm Design and Beyond-Worst-Case Analysis
2016-11-16Learning the Best Agorithm for Max-Cut, Clustering, and Other​ ​Partitioning Problems
2016-11-16Beyond Big-O: Statistical Analysis of Performance Scaling
2016-11-16Self-Improving Algorithms for Sorting and Geometric Problems
2016-11-16A PAC Approach to Application-Specific Algorithm Selection
2016-11-15Automatic Resource Bound Analysis and Linear Optimization
2016-11-15A Theoretical Approach to Semantic Coding and Hashing
2016-11-15Timing Matters: Online Dynamics in Broadcast Games
2016-11-15Distribution-Specific Analysis of Nearest Neighbor Search and Classification
2016-11-15Spectral Approaches to Nearest Neighbor Search
2016-11-14Applied Mixed Integer Programming: Beyond 'The Optimum'
2016-11-14Analyzing Algorithms on Real World Data


Tags:
Vaishnavh Nagarajan
Learning Algorithm Design and Beyond Worst-Case Analysis
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley