Media Summary: Lattice Problems Beyond Polynomial Time. Divesh Aggarwal (National University of Singapore); Huck Bennett (Oregon State ... Generic Reed-Solomon codes achieve list-decoding capacity. Joshua Brakensiek (Stanford University); Sivakanth Gopi (Microsoft ... A High Dimensional Goldreich-Levin Theorem. Parker Newton, Silas Richelson, Chase Wilson (University of California, Riverside)

Stoc 2023 Session 9a Approximate - Detailed Analysis & Overview

Lattice Problems Beyond Polynomial Time. Divesh Aggarwal (National University of Singapore); Huck Bennett (Oregon State ... Generic Reed-Solomon codes achieve list-decoding capacity. Joshua Brakensiek (Stanford University); Sivakanth Gopi (Microsoft ... A High Dimensional Goldreich-Levin Theorem. Parker Newton, Silas Richelson, Chase Wilson (University of California, Riverside) A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation. Omar Alrabiah, Venkatesan ... New Subset Selection Algorithms for Low Rank Quantum Advantage from Any Non-Local Game. Yael Kalai (Microsoft Research and MIT); Alex Lombardi (Simons Institute and ...

Quantum Cryptography in Algorithmica. William Kretschmer (UT Austin); Luowen Qian (Boston University); Makrand Sinha ... Algorithms approaching the threshold for semi-random planted clique. Rares-Darius Buhai (ETH Zurich); Pravesh K. Kothari ...

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STOC 2023 - Session 9A - Approximate Distance Sensitivity Oracles in Subquadratic Space.
STOC 2023 - Session 9A - Lattice Problems Beyond Polynomial Time
STOC 2023 - Session 9A - Generic Reed-Solomon codes achieve list-decoding capacity
STOC 2023 - Session 9A - A High Dimensional Goldreich-Levin Theorem
STOC 2023 - Session 9A - A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes
STOC 2023 - Session 10A - New Subset Selection Algorithms for Low Rank Approximation
STOC 2023 - Session 9B - Quantum Advantage from Any Non-Local Game
STOC 2023 - Session 1A - Approximating Iterated Multiplication of Stochastic Matrices in Small Space
STOC 2023 - Session 9B - Quantum Cryptography in Algorithmica
STOC 2023 - Session 8B - Approximating Nash Social Welfare by Matching and Local Search.
STOC 2023 - Session 7C - Dynamic ((1+eps)ln(n))-Approx Algs for Min Set Cover and Dominating Set
STOC 2023 - Session 1C - Stronger 3-SUM Lower Bounds for Approximate Distance Oracles via Additive C
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STOC 2023 - Session 9A - Approximate Distance Sensitivity Oracles in Subquadratic Space.

STOC 2023 - Session 9A - Approximate Distance Sensitivity Oracles in Subquadratic Space.

Approximate

STOC 2023 - Session 9A - Lattice Problems Beyond Polynomial Time

STOC 2023 - Session 9A - Lattice Problems Beyond Polynomial Time

Lattice Problems Beyond Polynomial Time. Divesh Aggarwal (National University of Singapore); Huck Bennett (Oregon State ...

STOC 2023 - Session 9A - Generic Reed-Solomon codes achieve list-decoding capacity

STOC 2023 - Session 9A - Generic Reed-Solomon codes achieve list-decoding capacity

Generic Reed-Solomon codes achieve list-decoding capacity. Joshua Brakensiek (Stanford University); Sivakanth Gopi (Microsoft ...

STOC 2023 - Session 9A - A High Dimensional Goldreich-Levin Theorem

STOC 2023 - Session 9A - A High Dimensional Goldreich-Levin Theorem

A High Dimensional Goldreich-Levin Theorem. Parker Newton, Silas Richelson, Chase Wilson (University of California, Riverside)

STOC 2023 - Session 9A - A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes

STOC 2023 - Session 9A - A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes

A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation. Omar Alrabiah, Venkatesan ...

STOC 2023 - Session 10A - New Subset Selection Algorithms for Low Rank Approximation

STOC 2023 - Session 10A - New Subset Selection Algorithms for Low Rank Approximation

New Subset Selection Algorithms for Low Rank

STOC 2023 - Session 9B - Quantum Advantage from Any Non-Local Game

STOC 2023 - Session 9B - Quantum Advantage from Any Non-Local Game

Quantum Advantage from Any Non-Local Game. Yael Kalai (Microsoft Research and MIT); Alex Lombardi (Simons Institute and ...

STOC 2023 - Session 1A - Approximating Iterated Multiplication of Stochastic Matrices in Small Space

STOC 2023 - Session 1A - Approximating Iterated Multiplication of Stochastic Matrices in Small Space

Approximating

STOC 2023 - Session 9B - Quantum Cryptography in Algorithmica

STOC 2023 - Session 9B - Quantum Cryptography in Algorithmica

Quantum Cryptography in Algorithmica. William Kretschmer (UT Austin); Luowen Qian (Boston University); Makrand Sinha ...

STOC 2023 - Session 8B - Approximating Nash Social Welfare by Matching and Local Search.

STOC 2023 - Session 8B - Approximating Nash Social Welfare by Matching and Local Search.

Approximating

STOC 2023 - Session 7C - Dynamic ((1+eps)ln(n))-Approx Algs for Min Set Cover and Dominating Set

STOC 2023 - Session 7C - Dynamic ((1+eps)ln(n))-Approx Algs for Min Set Cover and Dominating Set

Dynamic ((1+ϵ)lnn)-

STOC 2023 - Session 1C - Stronger 3-SUM Lower Bounds for Approximate Distance Oracles via Additive C

STOC 2023 - Session 1C - Stronger 3-SUM Lower Bounds for Approximate Distance Oracles via Additive C

Stronger 3-SUM Lower Bounds for

STOC 2023 - Session 10C - Algorithms approaching the threshold for semi-random planted clique.

STOC 2023 - Session 10C - Algorithms approaching the threshold for semi-random planted clique.

Algorithms approaching the threshold for semi-random planted clique. Rares-Darius Buhai (ETH Zurich); Pravesh K. Kothari ...