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Statistical Learning

4,117 papers

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Papers

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026

Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026

UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective AAAI 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026

A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median AAAI 2026

Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026

Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026

Rademacher Complexity for Distributionally Robust Learning AAAI 2026

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation AAAI 2026

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026

UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge AAAI 2026

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory AAAI 2026

Conformal Prediction for Multi-Source Detection on a Network AAAI 2026

The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies AAAI 2026

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026

PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation AAAI 2026

Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System AAAI 2026

Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026

Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026

Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026

Ranking Reasoning LLMs under Test-Time Scaling ACL 2026

Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026

Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026

No Scale Sensitive Dimension for Distribution Learning ALT 2026

Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026