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Statistical Learning

4,564 papers

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Papers

A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models UAI 2026 A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median AAAI 2026 A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026 Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM UAI 2026 A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance COLT 2026 AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026 Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions CLeaR 2026 COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification L4DC 2026 Cost-Aware Optimized Front-Door Experimental Design CLeaR 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm ALT 2026 Estimation and Inference for Causal Explainability CLeaR 2026 Exogenous Randomness Empowering Random Forests JMLR 2026 Falsifying Causal Graphs With Outlier Events UAI 2026