| 351 |
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
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cs.CV
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175 |
9 years ago |
| 352 |
Variance-Reduced and Projection-Free Stochastic Optimization
Elad Hazan, Haipeng Luo
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cs.LG
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173 |
10 years ago |
| 353 |
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, ... (+3 more)
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cs.LG
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173 |
6 years ago |
| 354 |
Distributed Clustering of Linear Bandits in Peer to Peer Networks
Nathan Korda, Balazs Szorenyi, Shuai Li
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cs.LG
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172 |
10 years ago |
| 355 |
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael L. Littman
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cs.LG
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172 |
8 years ago |
| 356 |
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt, Matthew D. Hoffman, David M. Blei
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stat.ML
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170 |
10 years ago |
| 357 |
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
Rodolphe Jenatton, Jim Huang, Cédric Archambeau
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stat.ML
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169 |
10 years ago |
| 358 |
Communication-Computation Efficient Gradient Coding
Min Ye, Emmanuel Abbe
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stat.ML
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169 |
8 years ago |
| 359 |
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, ... (+3 more)
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cs.LG
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169 |
5 years ago |
| 360 |
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
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cs.LG
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168 |
11 years ago |
| 361 |
Learning Privately from Multiparty Data
Jihun Hamm, Paul Cao, Mikhail Belkin
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cs.LG
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168 |
10 years ago |
| 362 |
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
Haim Avron, Michael Kapralov, ... (+4 more)
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cs.LG
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168 |
8 years ago |
| 363 |
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
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cs.CV
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168 |
8 years ago |
| 364 |
Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, ... (+2 more)
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stat.ML
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167 |
10 years ago |
| 365 |
Proportionally Fair Clustering
Xingyu Chen, Brandon Fain, ... (+2 more)
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cs.LG
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167 |
7 years ago |
| 366 |
Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, ... (+3 more)
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cs.DS
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167 |
6 years ago |
| 367 |
Stochastic Variance Reduction Methods for Policy Evaluation
Simon S. Du, Jianshu Chen, ... (+3 more)
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cs.LG
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166 |
9 years ago |
| 368 |
Differentially Private Fair Learning
Matthew Jagielski, Michael Kearns, ... (+5 more)
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cs.LG
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166 |
7 years ago |
| 369 |
Graphical-model based estimation and inference for differential privacy
Ryan McKenna, Daniel Sheldon, Gerome Miklau
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cs.LG
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166 |
7 years ago |
| 370 |
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, J. Zico Kolter
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cs.LG
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166 |
6 years ago |
| 371 |
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh, Tom Sercu, Vaibhava Goel
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cs.LG
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163 |
9 years ago |
| 372 |
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, ... (+4 more)
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cs.RO
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163 |
9 years ago |
| 373 |
Fake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, ... (+7 more)
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cs.LG
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163 |
9 years ago |
| 374 |
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, ... (+2 more)
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cs.LG
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163 |
6 years ago |
| 375 |
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz, Niru Maheswaranathan, ... (+3 more)
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cs.NE
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162 |
7 years ago |
| 376 |
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, ... (+5 more)
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cs.CL
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162 |
2 years ago |
| 377 |
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, ... (+4 more)
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stat.ML
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161 |
8 years ago |
| 378 |
Adaptive Gradient Descent without Descent
Yura Malitsky, Konstantin Mishchenko
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math.OC
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161 |
6 years ago |
| 379 |
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai, Ethan Fetaya, ... (+3 more)
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cs.LG
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161 |
5 years ago |
| 380 |
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu, Yingbin Liang, Guanghui Lan
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cs.LG
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161 |
5 years ago |
| 381 |
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikołaj Bińkowski, Gautier Marti, Philippe Donnat
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cs.LG
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160 |
9 years ago |
| 382 |
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
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cs.LG
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160 |
8 years ago |
| 383 |
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, ... (+3 more)
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cs.LG
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160 |
8 years ago |
| 384 |
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
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stat.ML
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159 |
9 years ago |
| 385 |
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Francis Song, ... (+6 more)
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cs.MA
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159 |
7 years ago |
| 386 |
Provable Guarantees for Gradient-Based Meta-Learning
Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar
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cs.LG
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159 |
7 years ago |
| 387 |
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng, Tongliang Liu, ... (+2 more)
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stat.ML
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158 |
8 years ago |
| 388 |
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, ... (+2 more)
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cs.LG
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158 |
5 years ago |
| 389 |
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen, Amnon Shashua
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cs.NE
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157 |
10 years ago |
| 390 |
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, ... (+2 more)
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cs.LG
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157 |
6 years ago |
| 391 |
Fair Generative Modeling via Weak Supervision
Kristy Choi, Aditya Grover, ... (+3 more)
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cs.LG
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156 |
6 years ago |
| 392 |
Constant Curvature Graph Convolutional Networks
Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea
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cs.LG
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156 |
6 years ago |
| 393 |
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim, Yehong Zhang, ... (+2 more)
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cs.LG
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156 |
5 years ago |
| 394 |
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, ... (+2 more)
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stat.ML
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155 |
11 years ago |
| 395 |
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li, Dmitry Kovalev, ... (+2 more)
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math.OC
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154 |
6 years ago |
| 396 |
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, ... (+2 more)
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cs.NE
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153 |
10 years ago |
| 397 |
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
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cs.LG
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153 |
10 years ago |
| 398 |
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes, YuXuan Liu, ... (+4 more)
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cs.LG
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153 |
8 years ago |
| 399 |
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann, Lihong Li, ... (+2 more)
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cs.LG
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153 |
7 years ago |
| 400 |
Investigating Human Priors for Playing Video Games
Rachit Dubey, Pulkit Agrawal, ... (+3 more)
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cs.AI
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151 |
8 years ago |