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Statistical Learning

4076 directly classified papers

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Papers

A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Credit Attribution and Stable Compression NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Quasi-Bayes meets Vines NIPS 2024
Credal Learning Theory NIPS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Improved Regret of Linear Ensemble Sampling NIPS 2024
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NIPS 2024
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NIPS 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark NIPS 2024