Learning from Conditional Distributions via Dual Embeddings

15 July 2016

Papers citing "Learning from Conditional Distributions via Dual Embeddings"

8 / 8 papers shown

Title
Finite-Sample Analysis of Proximal Gradient TD Algorithms Bo Liu Ji Liu Mohammad Ghavamzadeh Sridhar Mahadevan Marek Petrik 50 158 0 06 Jun 2020
Learning with Group Invariant Features: A Kernel Perspective Youssef Mroueh S. Voinea T. Poggio VLM 46 35 0 08 Jun 2015
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 147 703 0 30 Dec 2014
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang Ethan X. Fang Han Liu 79 261 0 14 Nov 2014
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 111 230 0 21 Jul 2014
Unsupervised Learning of Invariant Representations in Hierarchical Architectures Fabio Anselmi Joel Z Leibo Lorenzo Rosasco Jim Mutch Andrea Tacchetti T. Poggio OCL 55 88 0 17 Nov 2013
Modelling transition dynamics in MDPs with RKHS embeddings Steffen Grunewalder Guy Lever Luca Baldassarre Massimiliano Pontil Arthur Gretton 83 131 0 18 Jun 2012
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 111 144 0 21 May 2012