Statistical Learning

Implicit kernel meta-learning using kernel integral forms UAI 2022 Improved Classification Rates for Localized SVMs JMLR 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022 Improving Neural Political Statement Classification with Class Hierarchical Information ACL 2022 Independence Testing for Bounded Degree Bayesian Networks NeurIPS 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity ICML 2022 Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation CVPR 2022 Instance-optimal PAC Algorithms for Contextual Bandits NeurIPS 2022 Integral Probability Metrics PAC-Bayes Bounds NeurIPS 2022 Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022 Interpolation and Regularization for Causal Learning NeurIPS 2022 Intra-speaker phonetic variation in read speech: comparison with inter-speaker variability in a controlled population Interspeech 2022 Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022 Intrinsic dimensionality estimation using Normalizing Flows NeurIPS 2022 Intrinsic Dimension Estimation Using Wasserstein Distance JMLR 2022 Investigating Generalization by Controlling Normalized Margin ICML 2022 Investigating Information-Theoretic Properties of the Typology of Spatial Demonstratives NAACL 2022 Investigating phonological theories with crowd-sourced data: The Inventory Size Hypothesis in the light of Lingua Libre NAACL 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NeurIPS 2022 JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation NAACL 2022 KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss AAAI 2022 Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022