Outlier-Robust Learning of Ising Models Under Dobrushin's Condition

Outlier-Robust Learning of Ising Models Under Dobrushin's Condition

3 February 2021

Ilias Diakonikolas

Alistair Stewart

Papers citing "Outlier-Robust Learning of Ising Models Under Dobrushin's Condition"

12 / 12 papers shown

Title
Learning the Sherrington-Kirkpatrick Model Even at Low Temperature Gautam Chandrasekaran Adam R. Klivans 18 0 0 17 Nov 2024
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width Jason Gaitonde Elchanan Mossel 10 8 0 15 Nov 2023
Learning Hard-Constrained Models with One Sample Andreas Galanis Alkis Kalavasis Anthimos Vardis Kandiros 11 3 0 06 Nov 2023
On Computationally Efficient Learning of Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 23 0 0 12 Sep 2023
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 23 120 0 26 Oct 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support Alkis Kalavasis Konstantinos Stavropoulos Manolis Zampetakis 19 2 0 24 Oct 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 15 5 0 09 Jun 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models Ilias Diakonikolas D. Kane Yuxin Sun 26 1 0 09 Jun 2022
Streaming Algorithms for High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas 6 21 0 26 Apr 2022
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 13 9 0 28 Oct 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 21 5 0 23 Sep 2021
Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models Enric Boix-Adserà Guy Bresler Frederic Koehler TPM 16 10 0 07 Jun 2021