ResearchTrend.AI
Learning Graphical Models Using Multiplicative Weights

Learning Graphical Models Using Multiplicative Weights

Adam R. Klivans
Raghu Meka
ArXivPDFHTML

Papers citing "Learning Graphical Models Using Multiplicative Weights"

6 / 6 papers shown
Title
Near-Polynomially Competitive Active Logistic Regression
Near-Polynomially Competitive Active Logistic Regression
Yihan Zhou
Eric Price
Trung Nguyen
81
0
0
07 Mar 2025
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Marco Fanizza
Cambyse Rouzé
Daniel Stilck França
47
5
0
05 Nov 2024
Discrete distributions are learnable from metastable samples
Discrete distributions are learnable from metastable samples
Abhijith Jayakumar
A. Lokhov
Sidhant Misra
Marc Vuffray
138
1
0
17 Oct 2024
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
127
180
0
11 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
280
1,377
0
13 Oct 2010
Information-theoretic limits of selecting binary graphical models in high dimensions
Information-theoretic limits of selecting binary graphical models in high dimensions
N. Santhanam
Martin J. Wainwright
115
204
0
16 May 2009