Media Summary: The Approximate Degree of DNF and CNF Formulas Alexander Sherstov (University of California, Los Angeles) Fast FPT-Approximation of Branchwidth Fedor V. Fomin (University of Bergen) and Tuukka Korhonen (University of Bergen) MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: Instructor: Erik Demaine ...

Stoc 2022 Computational Complexity Of - Detailed Analysis & Overview

The Approximate Degree of DNF and CNF Formulas Alexander Sherstov (University of California, Los Angeles) Fast FPT-Approximation of Branchwidth Fedor V. Fomin (University of Bergen) and Tuukka Korhonen (University of Bergen) MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: Instructor: Erik Demaine ... Towards Optimal Lower Bounds for k-median and k-means Coresets Vincent Cohen-Addad (Google Research, Switzerland), ... The Shortest Even Cycle Problem is Tractable Andreas Björklund (Lund, Sweden), Thore Husfeldt (Lund University and Basic ... Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets Vincent Cohen-Addad ...

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STOC 2022 - Computational Complexity of the Ground State Energy Density Problem
STOC 2022 - On the Complexity of CSP-Based Ideal Membership Problems
STOC 2022 - The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier
STOC 2022 - On the Complexity of Two-Party Differential Privacy
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STOC 2022 - The Approximate Degree of DNF and CNF Formulas
STOC 2022 - Fast FPT-Approximation of Branchwidth
Lecture 23: Computational Complexity
STOC 2022 - Towards Optimal Lower Bounds for k-median and k-means Coresets
STOC 2022 - The Shortest Even Cycle Problem is Tractable
STOC 2022 -  The Query Complexity of Certification
STOC 2020 - Workshop 2: MCSP and Hardness Magnification
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STOC 2022 - Computational Complexity of the Ground State Energy Density Problem

STOC 2022 - Computational Complexity of the Ground State Energy Density Problem

Title:

STOC 2022 - On the Complexity of CSP-Based Ideal Membership Problems

STOC 2022 - On the Complexity of CSP-Based Ideal Membership Problems

On the

STOC 2022 - The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier

STOC 2022 - The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier

The Exact

STOC 2022 - On the Complexity of Two-Party Differential Privacy

STOC 2022 - On the Complexity of Two-Party Differential Privacy

On the

STOC 2022 - On the Complexity of Dynamic Submodular Maximization

STOC 2022 - On the Complexity of Dynamic Submodular Maximization

On the

STOC 2022 - The Approximate Degree of DNF and CNF Formulas

STOC 2022 - The Approximate Degree of DNF and CNF Formulas

The Approximate Degree of DNF and CNF Formulas Alexander Sherstov (University of California, Los Angeles)

STOC 2022 - Fast FPT-Approximation of Branchwidth

STOC 2022 - Fast FPT-Approximation of Branchwidth

Fast FPT-Approximation of Branchwidth Fedor V. Fomin (University of Bergen) and Tuukka Korhonen (University of Bergen)

Lecture 23: Computational Complexity

Lecture 23: Computational Complexity

MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine ...

STOC 2022 - Towards Optimal Lower Bounds for k-median and k-means Coresets

STOC 2022 - Towards Optimal Lower Bounds for k-median and k-means Coresets

Towards Optimal Lower Bounds for k-median and k-means Coresets Vincent Cohen-Addad (Google Research, Switzerland), ...

STOC 2022 - The Shortest Even Cycle Problem is Tractable

STOC 2022 - The Shortest Even Cycle Problem is Tractable

The Shortest Even Cycle Problem is Tractable Andreas Björklund (Lund, Sweden), Thore Husfeldt (Lund University and Basic ...

STOC 2022 -  The Query Complexity of Certification

STOC 2022 - The Query Complexity of Certification

The Query

STOC 2020 - Workshop 2: MCSP and Hardness Magnification

STOC 2020 - Workshop 2: MCSP and Hardness Magnification

The

STOC 2022 - Improved Approximations for Euclidean k-Means and k-Median

STOC 2022 - Improved Approximations for Euclidean k-Means and k-Median

Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets Vincent Cohen-Addad ...