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Search All 2021 Events
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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
Algorithms -> Bandit Algorithms; Theory
Algorithms -> Classification; Algorithms -> Meta-Learning; Applications
Algorithms -> Classification; Applications -> Computational Biology and Bioinformatics; Applications
Algorithms -> Classification; Deep Learning -> CNN Architectures; Reinforcement Learning and Planning
Algorithms -> Classification; Deep Learning -> Predictive Models; Neuroscience and Cognitive Science
Algorithms -> Clustering; Theory
Algorithms -> Large Scale Learning; Algorithms -> Sparsity and Compressed Sensing; Algorithms
Algorithms -> Large Scale Learning; Optimization -> Convex Optimization; Optimization
Algorithms -> Missing Data; Algorithms
Algorithms -> Online Learning; Optimization
Algorithms, Optimization and Computation Methods
Algorithms -> Regression; Algorithms -> Uncertainty Estimation; Probabilistic Methods; Probabilistic Methods
Algorithms -> Regression; Optimization -> Convex Optimization; Theory -> Learning Theory; Theory
Algorithms -> Regression; Probabilistic Methods; Probabilistic Methods
Algorithms -> Representation Learning; Applications -> Computer Vision; Applications
Algorithms -> Semi-Supervised Learning; Applications -> Computer Vision; Applications
Algorithms -> Semi-Supervised Learning; Deep Learning -> Optimization for Deep Networks; Optimization
Algorithms -> Unsupervised Learning; Applications -> Computational Photography; Deep Learning
Algorithms -> Unsupervised Learning; Applications -> Computer Vision; Deep Learning
Applications
Applications -> Computer Vision; Applications -> Object Recognition; Deep Learning
Applications -> Computer Vision; Deep Learning -> CNN Architectures; Deep Learning -> Deep Autoencoders; Deep Learning
Applications -> Denoising; Applications -> Signal Processing; Deep Learning
Applications -> Denoising; Theory
Data, Challenges, Implementations, and Software
Deep Learning
Deep Learning -> CNN Architectures; Deep Learning
Ethics and Safety
Learning Theory and Statistics
Models and Methods
Neuroscience and Cognitive Science
Neuroscience and Cognitive Science -> Human or Animal Learning; Probabilistic Methods
Optimization
Probabilistic Methods
Reinforcement Learning and Planning
Theory
Results
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Poster
Tue 18:30
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Oral Session
Thu 13:00
Generalization / Reinforcement Learning / Optimization
Oral Session
Tue 16:15
Bandits, Reinforcement Learning / Optimization
Poster
Tue 18:30
On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
Oral
Tue 16:30
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue 14:00
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue 14:00
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu · Yingbin Liang
Poster
Wed 12:45
Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan Günnemann
Poster
Wed 6:00
Logistic Q-Learning
Joan Bas Serrano · Sebastian Curi · Andreas Krause · Gergely Neu
Poster
Tue 14:00
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary Charles · Jakub Konečný
Poster
Wed 6:00
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Lucas Cassano · Ali H. Sayed
Poster
Wed 12:45
Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors
Benjamin Moseley · Sergei Vassilvtiskii · Yuyan Wang
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