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1506.09016
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Online Learning to Sample
30 June 2015
Guillaume Bouchard
Théo Trouillon
J. Perez
Adrien Gaidon
OffRL
OnRL
Re-assign community
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Papers citing
"Online Learning to Sample"
19 / 19 papers shown
OLR-WA Online Regression with Weighted Average
International Conference Smart Data and Smart Cities (ICSDSC), 2023
Mohammad Abu-Shaira
Gregory D. Speegle
77
2
0
06 Jul 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Subhojyoti Mukherjee
Qiaomin Xie
Josiah P. Hanna
R. Nowak
OffRL
446
5
0
29 Jan 2023
Learning to Learn and Sample BRDFs
Chen Liu
Michael Fischer
Tobias Ritschel
AI4CE
466
17
0
07 Oct 2022
Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data
IEEE Journal on Selected Areas in Communications (JSAC), 2022
Ghadir Ayache
Venkat Dassari
S. E. Rouayheb
FedML
203
31
0
01 Jun 2022
Active Exploration for Neural Global Illumination of Variable Scenes
ACM Transactions on Graphics (TOG), 2022
Stavros Diolatzis
Julien Philip
G. Drettakis
3DV
BDL
167
33
0
15 Mar 2022
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Subhojyoti Mukherjee
Josiah P. Hanna
Robert D. Nowak
OffRL
379
18
0
09 Mar 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Rujie Zhong
Duohan Zhang
Lukas Schafer
Stefano V. Albrecht
Josiah P. Hanna
OOD
OffRL
297
16
0
29 Nov 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
250
5
0
14 Jun 2021
Stochastic Reweighted Gradient Descent
International Conference on Machine Learning (ICML), 2021
Ayoub El Hanchi
D. Stephens
172
10
0
23 Mar 2021
Private Weighted Random Walk Stochastic Gradient Descent
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
Ghadir Ayache
S. E. Rouayheb
FedML
264
22
0
03 Sep 2020
Federated Transfer Learning with Dynamic Gradient Aggregation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
272
16
0
06 Aug 2020
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
Ilqar Ramazanli
Han Nguyen
Hai Pham
Sashank J. Reddi
Barnabás Póczós
313
11
0
20 Feb 2020
Online Variance Reduction with Mixtures
Zalan Borsos
Sebastian Curi
Kfir Y. Levy
Andreas Krause
211
15
0
29 Mar 2019
Online Deep Learning: Growing RBM on the fly
Savitha Ramasamy
K. Rajaraman
Pavitra Krishnaswamy
V. Chandrasekhar
143
7
0
06 Mar 2018
Online Variance Reduction for Stochastic Optimization
Zalan Borsos
Andreas Krause
Kfir Y. Levy
317
25
0
13 Feb 2018
Variational Inference via
χ
χ
χ
-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
724
35
0
01 Nov 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes
Soham De
A. Yadav
David Jacobs
Tom Goldstein
ODL
684
63
0
18 Oct 2016
Trading-off variance and complexity in stochastic gradient descent
Vatsal Shah
Megasthenis Asteris
Anastasios Kyrillidis
Sujay Sanghavi
258
13
0
22 Mar 2016
Overdispersed Black-Box Variational Inference
Francisco J. R. Ruiz
Michalis K. Titsias
David M. Blei
285
49
0
03 Mar 2016
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