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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction NIPS 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024
What Makes Models Compositional? A Theoretical View IJCAI 2024
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models NIPS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NIPS 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
Data Contamination Calibration for Black-box LLMs ACL 2024
Deep Metric Learning With Chance Constraints WACV 2024
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
Causal Estimation of Memorisation Profiles ACL 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024
Linear Regression using Heterogeneous Data Batches NIPS 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024