Media Summary: Distributed quantum inner product estimation Anurag Anshu (UC Berkeley), Zeph Landau (UC Berkeley) and Yunchao Liu (UC ... Directed flow-augmentation Eun Jung Kim (Université Paris-Dauphine, PSL Research University, CNRS), Stefan Kratsch ... The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier for Bootstrapping Results in ...

Stoc 2022 A New Framework - Detailed Analysis & Overview

Distributed quantum inner product estimation Anurag Anshu (UC Berkeley), Zeph Landau (UC Berkeley) and Yunchao Liu (UC ... Directed flow-augmentation Eun Jung Kim (Université Paris-Dauphine, PSL Research University, CNRS), Stefan Kratsch ... The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier for Bootstrapping Results in ... Worst-Case to Average-Case Reductions via Additive Combinatorics Vahid R. Asadi (University of Waterloo), Alexander Golovnev ... An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Problem Anna Karlin (University of ... Faster Min-Plus Product for Monotone Instances Shucheng Chi (Tsinghua University), Ran Duan (Tsinghua University), Tianle Xie ...

An Extendable Data Structure for Incremental Stable Perfect Hashing Ioana Bercea (IT University of Copenhagen) and Guy Even ... Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum ... Edge Sampling and Graph Parameter Estimation via Vertex Neighborhood Accesses Jakub Tětek (Basic Algorithms Research ... Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary Adam Karczmarz (University of Warsaw ... Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets Vincent Cohen-Addad ...

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STOC 2022 - A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent
STOC 2022 - Distributed quantum inner product estimation
STOC 2022 - Directed flow-augmentation
STOC 2022 - The Exact Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier
STOC 2022 - Worst-Case to Average-Case Reductions via Additive Combinatorics
STOC 2022 - An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Prob
STOC 2021 - A Framework for Dynamic Matching in Weighted Graphs
STOC 2022 - Faster Min-Plus Product for Monotone Instances
STOC 2022 - An Extendable Data Structure for Incremental Stable Perfect Hashing
Stoc 2022 - Dequantizing the Quantum Singular Value Transformation
STOC 2022 - Edge Sampling and Graph Parameter Estimation via Vertex Neighborhood Accesses
STOC 2022 - Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary
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STOC 2022 - A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent

STOC 2022 - A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent

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STOC 2022 - Distributed quantum inner product estimation

STOC 2022 - Distributed quantum inner product estimation

Distributed quantum inner product estimation Anurag Anshu (UC Berkeley), Zeph Landau (UC Berkeley) and Yunchao Liu (UC ...

STOC 2022 - Directed flow-augmentation

STOC 2022 - Directed flow-augmentation

Directed flow-augmentation Eun Jung Kim (Université Paris-Dauphine, PSL Research University, CNRS), Stefan Kratsch ...

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 Complexity of Pseudorandom Functions and the Black-Box Natural Proof Barrier for Bootstrapping Results in ...

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 ...

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 Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Problem Anna Karlin (University of ...

STOC 2021 - A Framework for Dynamic Matching in Weighted Graphs

STOC 2021 - A Framework for Dynamic Matching in Weighted Graphs

Okay so now let me explain our bipartite

STOC 2022 - Faster Min-Plus Product for Monotone Instances

STOC 2022 - Faster Min-Plus Product for Monotone Instances

Faster Min-Plus Product for Monotone Instances Shucheng Chi (Tsinghua University), Ran Duan (Tsinghua University), Tianle Xie ...

STOC 2022 - An Extendable Data Structure for Incremental Stable Perfect Hashing

STOC 2022 - An Extendable Data Structure for Incremental Stable Perfect Hashing

An Extendable Data Structure for Incremental Stable Perfect Hashing Ioana Bercea (IT University of Copenhagen) and Guy Even ...

Stoc 2022 - Dequantizing the Quantum Singular Value Transformation

Stoc 2022 - Dequantizing the Quantum Singular Value Transformation

Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum ...

STOC 2022 - Edge Sampling and Graph Parameter Estimation via Vertex Neighborhood Accesses

STOC 2022 - Edge Sampling and Graph Parameter Estimation via Vertex Neighborhood Accesses

Edge Sampling and Graph Parameter Estimation via Vertex Neighborhood Accesses Jakub Tětek (Basic Algorithms Research ...

STOC 2022 - Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary

STOC 2022 - Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary

Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary Adam Karczmarz (University of Warsaw ...

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 ...