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Statistical Learning

4076 directly classified papers

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Papers

Conformalized Deep Splines for Optimal and Efficient Prediction Sets AISTATS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NIPS 2024
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024
Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA ACL 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
Testing exchangeability by pairwise betting AISTATS 2024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
BizBench: A Quantitative Reasoning Benchmark for Business and Finance ACL 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024