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Statistical Learning

4076 directly classified papers

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Papers

Label Noise Robustness of Conformal Prediction JMLR 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Online Consistency of the Nearest Neighbor Rule NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition INTERSPEECH 2024
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition JMLR 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NIPS 2024
Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts NAACL 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024
Why is parameter averaging beneficial in SGD? An objective smoothing perspective AISTATS 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024
Conformalized Multiple Testing after Data-dependent Selection NIPS 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
Data Distribution Valuation NIPS 2024
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NIPS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NIPS 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024