conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4,117 papers

Papers per year

9
62
100
382
192
'05
'10
'15
'20
'25

Papers

Generalization Properties of Learning with Random Features NIPS 2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NIPS 2017
Learning Overcomplete HMMs NIPS 2017
A Minimax Optimal Algorithm for Crowdsourcing NIPS 2017
Online control of the false discovery rate with decaying memory NIPS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling NIPS 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NIPS 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
Certified Defenses for Data Poisoning Attacks NIPS 2017
Early stopping for kernel boosting algorithms: A general analysis with localized complexities NIPS 2017
On the Complexity of Learning Neural Networks NIPS 2017
A Sample Complexity Measure with Applications to Learning Optimal Auctions NIPS 2017
On Optimal Generalizability in Parametric Learning NIPS 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Hierarchical Methods of Moments NIPS 2017
Discovering Potential Correlations via Hypercontractivity NIPS 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
Robust Estimation of Neural Signals in Calcium Imaging NIPS 2017
Consistent Robust Regression NIPS 2017
Trimmed Density Ratio Estimation NIPS 2017
Learning Mixture of Gaussians with Streaming Data NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017