Beyond Worst Case Analysis Workshop

Media Summary: Panelists: Shanghua Teng, Michael Mitzenmacher, Bernard Chazelle, Richard Karp, Members' Colloquium 1:30pm Simonyi 101 and Remote Access Topic: Instance optimality in computational geometry. Full

Beyond Worst Case Analysis Workshop - Detailed Analysis & Overview

Panelists: Shanghua Teng, Michael Mitzenmacher, Bernard Chazelle, Richard Karp, Members' Colloquium 1:30pm Simonyi 101 and Remote Access Topic: Instance optimality in computational geometry. Full Three motivating examples. Pros and cons of March 25, 2021 talk in the IGAFIT (Interest Group on Algorithmic Foundations of Information Technology) Algorithmic Colloquium. Tim Roughgarden, Stanford University Algorithms and ...

Finish LP decoding of LDPC codes (see Lecture 11 notes). Introduction to smoothed Planted and semirandom models for clique and graph partitioning. Full

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Panel from Beyond Worst Case Analysis Workshop

Beyond Worst Case Analysis Workshop Introduction - Tim Roughgarden

Beyond Worst-Case Analysis in Online Learning - Tim Roughgarden

Beyond Worst-Case Analysis (Lecture 17: Self-Improving Algorithms)

Beyond Worst-Case Analysis (Lecture 2: Instance-Optimal Geometric Algorithms)

Beyond Worst-Case Analysis (Lecture 1: Three Motivating Examples)

Beyond Worst-Case Analysis (IGAFIT Algorithmic Colloquium, March 25, 2021)

Beyond Worst-Case Analysis I

Beyond Worst-Case Analysis (Lecture 13: Smoothed Analysis of Local Search)

Beyond Worst-Case Analysis (Lecture 3: Online Paging and Resource Augmentation)

Beyond Worst-Case Analysis (Lecture 12: LP Decoding/Introduction to Smoothed Analysis)

Beyond Worst-Case Analysis II

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Panel from Beyond Worst Case Analysis Workshop

Panel from Beyond Worst Case Analysis Workshop

Panelists: Shanghua Teng, Michael Mitzenmacher, Bernard Chazelle, Richard Karp,

Beyond Worst Case Analysis Workshop Introduction - Tim Roughgarden

Beyond Worst Case Analysis Workshop Introduction - Tim Roughgarden

Introduction by Prof. Tim Roughgarden

Beyond Worst-Case Analysis in Online Learning - Tim Roughgarden

Beyond Worst-Case Analysis in Online Learning - Tim Roughgarden

Members' Colloquium 1:30pm|Simonyi 101 and Remote Access Topic:

Beyond Worst-Case Analysis (Lecture 17: Self-Improving Algorithms)

Beyond Worst-Case Analysis (Lecture 17: Self-Improving Algorithms)

Self-improving algorithms. Full

Beyond Worst-Case Analysis (Lecture 2: Instance-Optimal Geometric Algorithms)

Beyond Worst-Case Analysis (Lecture 2: Instance-Optimal Geometric Algorithms)

Instance optimality in computational geometry. Full

Beyond Worst-Case Analysis (Lecture 1: Three Motivating Examples)

Beyond Worst-Case Analysis (Lecture 1: Three Motivating Examples)

Three motivating examples. Pros and cons of

Beyond Worst-Case Analysis (IGAFIT Algorithmic Colloquium, March 25, 2021)

Beyond Worst-Case Analysis (IGAFIT Algorithmic Colloquium, March 25, 2021)

March 25, 2021 talk in the IGAFIT (Interest Group on Algorithmic Foundations of Information Technology) Algorithmic Colloquium.

Beyond Worst-Case Analysis I

Beyond Worst-Case Analysis I

Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-1 Algorithms and ...

Beyond Worst-Case Analysis (Lecture 13: Smoothed Analysis of Local Search)

Beyond Worst-Case Analysis (Lecture 13: Smoothed Analysis of Local Search)

Smoothed

Beyond Worst-Case Analysis (Lecture 3: Online Paging and Resource Augmentation)

Beyond Worst-Case Analysis (Lecture 3: Online Paging and Resource Augmentation)

The algorithm

Beyond Worst-Case Analysis (Lecture 12: LP Decoding/Introduction to Smoothed Analysis)

Beyond Worst-Case Analysis (Lecture 12: LP Decoding/Introduction to Smoothed Analysis)

Finish LP decoding of LDPC codes (see Lecture 11 notes). Introduction to smoothed

Beyond Worst-Case Analysis II

Beyond Worst-Case Analysis II

Tim Roughgarden, Stanford University https://simons.berkeley.edu/talks/tim-roughgarden-08-25-2016-2 Algorithms and ...

Beyond Worst-Case Analysis (Lecture 10: Planted and Semi-Random Graph Models)

Beyond Worst-Case Analysis (Lecture 10: Planted and Semi-Random Graph Models)

Planted and semirandom models for clique and graph partitioning. Full