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← Optimization & Theory
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Statistical Learning
4076 directly classified papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
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2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
How Many Ratings per Item are Necessary for Reliable Significance Testing?
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
ParsCORE: The Persian Corpus of Online Registers
EACL 2026
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
EACL 2026
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
WACV 2026
Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract)
AAAI 2026
On the Interplay between Human Label Variation and Model Fairness
EACL 2026
Language Models Do Not Embed Numbers Continuously (Student Abstract)
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
Conformal Prediction for Multi-Source Detection on a Network
AAAI 2026
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory
AAAI 2026
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
Distribution Shift Is Key to Learning Invariant Prediction
AAAI 2026
Rademacher Complexity for Distributionally Robust Learning
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
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
AAAI 2026
Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation
AAAI 2026
Fast Conformal Prediction Using Conditional Interquantile Intervals
AAAI 2026
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
AAAI 2026
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