Learning Theory

Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data JMLR 2026 Blackwell Approachability and Gradient Equilibrium are Equivalent COLT 2026 BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models EACL 2026 Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026 Boosting with List-Decodable Codes COLT 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 Calibeating Made Simple COLT 2026 Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026 Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness COLT 2026 Cloning is as Hard as Learning for Stabilizer States COLT 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans AAAI 2026 Corruptions of Supervised Learning Problems: Typology and Mitigations JMLR 2026 Cylindrical Lattice Embedding for Program Induction AAAI 2026 Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis CVPR 2026 Deep Q-Learning on Hölder Spaces COLT 2026 Defensive Generation COLT 2026 Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures COLT 2026 Discriminative Feature Feedback with General Teacher Classes ALT 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Distribution-Dependent Rates for Multi-Distribution Learning ALT 2026 Distribution-Free Sequential Prediction with Abstentions COLT 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Diversity patterns run deep: Impact of diversity intake on multiword expression identification EACL 2026