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Statistical Learning

4076 directly classified papers

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Papers

Is Score Matching Suitable for Estimating Point Processes? NIPS 2024
Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract) COLT 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NIPS 2024
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition INTERSPEECH 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NIPS 2024
Testing exchangeability by pairwise betting AISTATS 2024
DoubleLingo: Causal Estimation with Large Language Models NAACL 2024
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024
Spatial properties of Bayesian unsupervised trees COLT 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NIPS 2024
When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024
Improved Sample Complexity for Multiclass PAC Learning NIPS 2024
Logistic Regression Under Network Dependence JMLR 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024