Provable learning of Noisy-or Networks

Provable learning of Noisy-or Networks

28 December 2016

Andrej Risteski

Papers citing "Provable learning of Noisy-or Networks"

8 / 8 papers shown

Title
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 16 19 0 01 Jan 2023
Learning One-hidden-layer ReLU Networks via Gradient Descent Xiao Zhang Yaodong Yu Lingxiao Wang Quanquan Gu MLT 26 134 0 20 Jun 2018
Parsimonious Bayesian deep networks Mingyuan Zhou BDL 9 8 0 22 May 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Rong Ge Holden Lee Andrej Risteski 20 53 0 07 Oct 2017
Fast and robust tensor decomposition with applications to dictionary learning T. Schramm David Steurer 13 47 0 27 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao-quan Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 15 335 0 10 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 17 727 0 24 May 2017
Relative Error Tensor Low Rank Approximation Zhao-quan Song David P. Woodruff Peilin Zhong 20 122 0 26 Apr 2017