Statistical Learning
4,564 papers
Papers per year
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Papers
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
AISTATS 2024
Improved Sample Complexity for Multiclass PAC Learning
NeurIPS 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
NeurIPS 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
EMNLP 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models
AISTATS 2024
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
CLeaR 2024
Inference on High-dimensional Single-index Models with Streaming Data
JMLR 2024
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
NeurIPS 2024
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
ICLR 2024
Information Capacity Regret Bounds for Bandits with Mediator Feedback
JMLR 2024
Information Processing Equalities and the Information–Risk Bridge
JMLR 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity
AISTATS 2024
Information-theoretic generalization bounds for learning from quantum data
COLT 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
JMLR 2024
Information-theoretic Limits of Online Classification with Noisy Labels
NeurIPS 2024
Inherent limitations of dimensions for characterizing learnability of distribution classes
COLT 2024
In search of structure and correspondence in intra-speaker trial-to-trial variability
Interspeech 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance
NeurIPS 2024
Instance-Specific Asymmetric Sensitivity in Differential Privacy
NeurIPS 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract
COLT 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression
AISTATS 2024
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition
Interspeech 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?
NeurIPS 2024
Is Gender Reference Gender-specific? Studies in a Polar Domain
COLING 2024
Is Score Matching Suitable for Estimating Point Processes?
NeurIPS 2024