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High-Dimensional Regression with Binary Coefficients. Estimating Squared
  Error and a Phase Transition

High-Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition

16 January 2017
D. Gamarnik
Ilias Zadik
ArXivPDFHTML

Papers citing "High-Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition"

8 / 8 papers shown
Title
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
9
35
0
07 Dec 2021
On Support Recovery with Sparse CCA: Information Theoretic and
  Computational Limits
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha
Rajarshi Mukherjee
14
4
0
14 Aug 2021
Performance of Bayesian linear regression in a model with mismatch
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
32
22
0
14 Jul 2021
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
19
85
0
16 May 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order
  Optimization
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Hussein Hazimeh
Rahul Mazumder
A. Saab
78
87
0
13 Apr 2020
Fundamental Barriers to High-Dimensional Regression with Convex
  Penalties
Fundamental Barriers to High-Dimensional Regression with Convex Penalties
Michael Celentano
Andrea Montanari
23
46
0
25 Mar 2019
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial
  Optimization Algorithms
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Hussein Hazimeh
Rahul Mazumder
17
180
0
05 Mar 2018
Finding a Large Submatrix of a Gaussian Random Matrix
Finding a Large Submatrix of a Gaussian Random Matrix
D. Gamarnik
Quan Li
25
28
0
26 Feb 2016
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