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Statistical Learning

4,117 papers

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Papers

Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation EACL 2026

MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments EACL 2026

Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026

Query Decomposition for RAG: Balancing Exploration-Exploitation EACL 2026

Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment EACL 2026

On the Interplay between Human Label Variation and Model Fairness EACL 2026

How Many Ratings per Item are Necessary for Reliable Significance Testing? EACL 2026

ParsCORE: The Persian Corpus of Online Registers EACL 2026

Syllable Structures Across Arabic Varieties EACL 2026

HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026

Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation AAAI 2026

A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026

Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026

GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction AAAI 2026

Statistical Learning Theory for Distributional Classification AAAI 2026

Fast Conformal Prediction Using Conditional Interquantile Intervals AAAI 2026

Variance Reduction via Resampling and Experience Replay AAAI 2026

M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting AAAI 2026

On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples AAAI 2026

Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations AAAI 2026

Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms AAAI 2026

Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation AAAI 2026