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Learning from Conditional Distributions via Dual Embeddings
v1v2 (latest)

Learning from Conditional Distributions via Dual Embeddings

15 July 2016
Bo Dai
Niao He
Yunpeng Pan
Byron Boots
Le Song
ArXiv (abs)PDFHTML

Papers citing "Learning from Conditional Distributions via Dual Embeddings"

12 / 12 papers shown
Scaling Marginalized Importance Sampling to High-Dimensional
  State-Spaces via State Abstraction
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State AbstractionAAAI Conference on Artificial Intelligence (AAAI), 2022
Brahma S. Pavse
Josiah P. Hanna
OffRL
231
9
0
14 Dec 2022
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy EstimationInternational Conference on Learning Representations (ICLR), 2019
Ziyang Tang
Yihao Feng
Lihong Li
Dengyong Zhou
Qiang Liu
OffRL
388
72
0
16 Oct 2019
Asynchronous Stochastic Composition Optimization with Variance Reduction
Asynchronous Stochastic Composition Optimization with Variance Reduction
Shuheng Shen
Linli Xu
Jingchang Liu
Junliang Guo
Qing Ling
199
2
0
15 Nov 2018
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning
  in Continuous Markov Decision Problems
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision ProblemsAmerican Control Conference (ACC), 2018
Alec Koppel
Ekaterina V. Tolstaya
Ethan Stump
Alejandro Ribeiro
150
22
0
19 Apr 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function
  Approximation
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai
Albert Eaton Shaw
Lihong Li
Lin Xiao
Niao He
Zhen Liu
Jianshu Chen
Le Song
349
25
0
29 Dec 2017
Variance Reduced methods for Non-convex Composition Optimization
Variance Reduced methods for Non-convex Composition Optimization
Liu Liu
Ji Liu
Dacheng Tao
136
27
0
13 Nov 2017
Accelerated Method for Stochastic Composition Optimization with
  Nonsmooth Regularization
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Zhouyuan Huo
Bin Gu
Ji Liu
Heng-Chiao Huang
263
53
0
10 Nov 2017
Duality-free Methods for Stochastic Composition Optimization
Duality-free Methods for Stochastic Composition OptimizationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
Liu Liu
Ji Liu
Dacheng Tao
214
16
0
26 Oct 2017
Manifold Regularization for Kernelized LSTD
Manifold Regularization for Kernelized LSTD
Xinyan Yan
K. Choromanski
Byron Boots
Vikas Sindhwani
OffRL
207
1
0
15 Oct 2017
Fast Stochastic Variance Reduced ADMM for Stochastic Composition
  Optimization
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization
Yue Yu
Longbo Huang
240
35
0
11 May 2017
Local Group Invariant Representations via Orbit Embeddings
Local Group Invariant Representations via Orbit Embeddings
Anant Raj
Abhishek Kumar
Youssef Mroueh
Tom Fletcher
Bernhard Schölkopf
329
39
0
06 Dec 2016
Accelerating Stochastic Composition Optimization
Accelerating Stochastic Composition Optimization
Mengdi Wang
Ji Liu
Ethan X. Fang
259
158
0
25 Jul 2016
1
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