Learning Unnormalized Statistical Models via Compositional Optimization

13 June 2023

Papers citing "Learning Unnormalized Statistical Models via Compositional Optimization"

8 / 8 papers shown

Title
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization Wei Jiang Sifan Yang Wenhao Yang Yibo Wang Yuanyu Wan Lijun Zhang 36 2 0 06 Jun 2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions Wei Jiang Sifan Yang Yibo Wang Lijun Zhang 36 2 0 04 Jun 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction Wei Jiang Sifan Yang Wenhao Yang Lijun Zhang 26 3 0 01 Jun 2024
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 32 71 0 16 Feb 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 182 42 0 06 Mar 2020
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 226 165 0 18 Oct 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016