statistical learning theory

Provably Correct k-Means Clustering of Persistence Diagrams UAI 2026 Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning COLT 2026 Statistical Learning Theory for Distributional Classification AAAI 2026 Statistical Learning Theory for Neural Operators JMLR 2026 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications AISTATS 2025 The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures ICLR 2025 Understanding the Effect of GCN Convolutions in Regression Tasks AISTATS 2025 An Entropy-Based Model for Hierarchical Learning JMLR 2024 Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails JMLR 2024 Credal Learning Theory NeurIPS 2024 Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024 Grokking phase transitions in learning local rules with gradient descent JMLR 2024 Learning from many trajectories JMLR 2024 Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024 Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NeurIPS 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 PAC-Bayes-Chernoff bounds for unbounded losses NeurIPS 2024 Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms ICML 2024 Don’t fear the unlabelled: safe semi-supervised learning via debiasing ICLR 2023 Fine-Grained Distribution-Dependent Learning Curves COLT 2023 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 Learning ReLU networks to high uniform accuracy is intractable ICLR 2023 On kernel-based statistical learning theory in the mean field limit NeurIPS 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023