Statistical Learning
4,564 papers
Papers per year
2
8
9
7
9
35
42
41
45
70
79
85
113
128
110
150
162
210
299
399
445
487
621
569
324
115
'5
'10
'15
'20
'25
Papers
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing
JMLR 2024
On the Computational Landscape of Replicable Learning
NeurIPS 2024
On the Concentration of the Minimizers of Empirical Risks
JMLR 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods
JMLR 2024
On the Consistency of Kernel Methods with Dependent Observations
ICML 2024
On the Distance from Calibration in Sequential Prediction
COLT 2024
On the Expected Size of Conformal Prediction Sets
AISTATS 2024
On the Lasso for Graphical Continuous Lyapunov Models
CLeaR 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
JMLR 2024
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
On the Provable Advantage of Unsupervised Pretraining
ICLR 2024
On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
ICML 2024
On the sample complexity of parameter estimation in logistic regression with normal design
COLT 2024
On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation
ALT 2024
On the Stability and Generalization of Meta-Learning
NeurIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
AISTATS 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NeurIPS 2024
On the Variance of Neural Network Training with respect to Test Sets and Distributions
ICLR 2024
Open Problem: Tight Characterization of Instance-Optimal Identity Testing
COLT 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
NeurIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NeurIPS 2024
Optimal Algorithms for Augmented Testing of Discrete Distributions
NeurIPS 2024
Optimal estimation of Gaussian (poly)trees
AISTATS 2024