Media Summary: Tsp is np hard so often we have to resort to Approximately Efficient Bilateral Trade Yuan Deng (Google Research), Jieming Mao (Google Research), Balasubramanian Sivan ... Worst-Case to Average-Case Reductions via Additive Combinatorics Vahid R. Asadi (University of Waterloo), Alexander Golovnev ...

Stoc 2022 Improved Approximation Guarantees - Detailed Analysis & Overview

Tsp is np hard so often we have to resort to Approximately Efficient Bilateral Trade Yuan Deng (Google Research), Jieming Mao (Google Research), Balasubramanian Sivan ... Worst-Case to Average-Case Reductions via Additive Combinatorics Vahid R. Asadi (University of Waterloo), Alexander Golovnev ... Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism. Sam Hopkins (UC ... Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds Amos Beimel (Ben-Gurion ...

Photo Gallery

STOC 2022 - Improved Approximation Guarantees for Shortest Superstrings using Cycle Classification
STOC 2022 - An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Prob
STOC 2023 - Session 10B - An improved approximation guarantee for Prize-Collecting TSP.
STOC 2022 - Improved Approximations for Euclidean k-Means and k-Median
STOC 2021 - A (Slightly) Improved Approximation Algorithm for Metric TSP
STOC 2022 - Improved Iteration Complexities for Overconstrained p-Norm Regression
STOC 2022 - Approximately Efficient Bilateral Trade
STOC 2022 - Worst-Case to Average-Case Reductions via Additive Combinatorics
Zihan Tan: Improved Approximation Algorithms for Graph Crossing Number
STOC 2022 - Hardness of Approximation in P via Short Cycle Removal
STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems
STOC 2022 - Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exp Mech
View Detailed Profile
STOC 2022 - Improved Approximation Guarantees for Shortest Superstrings using Cycle Classification

STOC 2022 - Improved Approximation Guarantees for Shortest Superstrings using Cycle Classification

Improved Approximation Guarantees

STOC 2022 - An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Prob

STOC 2022 - An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Prob

An

STOC 2023 - Session 10B - An improved approximation guarantee for Prize-Collecting TSP.

STOC 2023 - Session 10B - An improved approximation guarantee for Prize-Collecting TSP.

An

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

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

Improved Approximations

STOC 2021 - A (Slightly) Improved Approximation Algorithm for Metric TSP

STOC 2021 - A (Slightly) Improved Approximation Algorithm for Metric TSP

Tsp is np hard so often we have to resort to

STOC 2022 - Improved Iteration Complexities for Overconstrained p-Norm Regression

STOC 2022 - Improved Iteration Complexities for Overconstrained p-Norm Regression

Improved

STOC 2022 - Approximately Efficient Bilateral Trade

STOC 2022 - Approximately Efficient Bilateral Trade

Approximately Efficient Bilateral Trade Yuan Deng (Google Research), Jieming Mao (Google Research), Balasubramanian Sivan ...

STOC 2022 - Worst-Case to Average-Case Reductions via Additive Combinatorics

STOC 2022 - Worst-Case to Average-Case Reductions via Additive Combinatorics

Worst-Case to Average-Case Reductions via Additive Combinatorics Vahid R. Asadi (University of Waterloo), Alexander Golovnev ...

Zihan Tan: Improved Approximation Algorithms for Graph Crossing Number

Zihan Tan: Improved Approximation Algorithms for Graph Crossing Number

CMU Theory Lunch talk from February 09,

STOC 2022 - Hardness of Approximation in P via Short Cycle Removal

STOC 2022 - Hardness of Approximation in P via Short Cycle Removal

Title: Hardness of

STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems

STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems

Approximate

STOC 2022 - Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exp Mech

STOC 2022 - Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exp Mech

Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism. Sam Hopkins (UC ...

STOC 2022 - Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds

STOC 2022 - Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds

Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds Amos Beimel (Ben-Gurion ...