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sample complexity

1158 papers

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reinforcement learning (4122) pac learning (280) multi-armed bandit (1091) markov decision process (788) learning theory (518) differential privacy (1010) stochastic optimization (1060) neural network (6616) active learning (1295) regret bound (1918)

Papers

Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020
Private Mean Estimation of Heavy-Tailed Distributions COLT 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians COLT 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract) AAAI 2020
Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020
A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere COLT 2020
Online Sinkhorn: Optimal Transport distances from sample streams NIPS 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NIPS 2020
The Power of Comparisons for Actively Learning Linear Classifiers NIPS 2020
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NIPS 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables NIPS 2020
Finding the Homology of Decision Boundaries with Active Learning NIPS 2020
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NIPS 2020
Testing Determinantal Point Processes NIPS 2020
Sample Complexity of Uniform Convergence for Multicalibration NIPS 2020
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity NIPS 2020
Learning Utilities and Equilibria in Non-Truthful Auctions NIPS 2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NIPS 2020
A Computational Separation between Private Learning and Online Learning NIPS 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020
Pan-Private Uniformity Testing COLT 2020
Privately Learning Thresholds: Closing the Exponential Gap COLT 2020
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020