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← Optimization & Theory
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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
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
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2025: 192
2026: 44
Papers
Risk Controlled Image Retrieval
AAAI 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
AAAI 2025
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
AAAI 2025
Conditional Diffusion Models Based Conditional Independence Testing
AAAI 2025
Selective Uncertainty Propagation in Offline RL
AAAI 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise
AAAI 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning
AAAI 2025
Conformalized Interval Arithmetic with Symmetric Calibration
AAAI 2025
Conformal Thresholded Intervals for Efficient Regression
AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning
AAAI 2025
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
AAAI 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
Learnability of Parameter-Bounded Bayes Nets
AAAI 2025
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval
AAAI 2025
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
GHOST: Gaussian Hypothesis Open-Set Technique
AAAI 2025
Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches
NAACL 2025
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
NAACL 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
AAAI 2025
A Grounded Typology of Word Classes
NAACL 2025
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
NAACL 2025
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
NAACL 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
NAACL 2025
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)
IJCAI 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples
IJCAI 2025
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