statistical consistency

Provable Subspace Identification of Nonlinear Multi-view CCA UAI 2026 Causal Representation Learning Made Identifiable by Grouping of Observational Variables ICML 2024 Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024 Progressive Entropic Optimal Transport Solvers NeurIPS 2024 Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023 Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023 On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NeurIPS 2023 TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NeurIPS 2023 Graphon based Clustering and Testing of Networks: Algorithms and Theory ICLR 2022 Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022 Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022 Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021 Provably End-to-end Label-noise Learning without Anchor Points ICML 2021 Consistent Plug-in Classifiers for Complex Objectives and Constraints NeurIPS 2020 Consistent Structured Prediction with Max-Min Margin Markov Networks ICML 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application ICML 2020 Robustness Guarantees for Density Clustering AISTATS 2019 Manifold Structured Prediction NeurIPS 2018 Conic Scan-and-Cover algorithms for nonparametric topic modeling NeurIPS 2017 Locally Consistent Bayesian Network Scores for Multi-Relational Data IJCAI 2017 Modal-set estimation with an application to clustering AISTATS 2017 On the Consistency of Quick Shift NeurIPS 2017 Universal consistency and minimax rates for online Mondrian Forests NeurIPS 2017 Active Learning from Imperfect Labelers NeurIPS 2016