Statistical Learning
4,564 papers
Papers per year
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70
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85
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128
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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