Statistical Learning

Uncertainty Modeling in Generative Compressed Sensing ICML 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Understanding Dataset Difficulty with V-Usable Information ICML 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 Uniform deconvolution for Poisson Point Processes JMLR 2022 Unifying Cosine and PLDA Back-ends for Speaker Verification Interspeech 2022 Unit Selection with Causal Diagram AAAI 2022 Universality of empirical risk minimization COLT 2022 Universalizing Weak Supervision ICLR 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees AAAI 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022 VECA: A New Benchmark and Toolkit for General Cognitive Development AAAI 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022 What Do We Mean by Generalization in Federated Learning? ICLR 2022 YNU-HPCC at SemEval-2022 Task 8: Transformer-based Ensemble Model for Multilingual News Article Similarity SemEval 2022 4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis CVPR 2021 A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021 A Comparison of Acoustic Correlates of Voice Quality Across Different Recording Devices: A Cautionary Tale Interspeech 2021 A constrained risk inequality for general losses AISTATS 2021 Active Learning under Label Shift AISTATS 2021 Active Slices for Sliced Stein Discrepancy ICML 2021 Adaptive Conformal Inference Under Distribution Shift NeurIPS 2021 Adaptive estimation of nonparametric functionals JMLR 2021 A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021