Statistical Learning

Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021 Simpson's Bias in NLP Training AAAI 2021 Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021 Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications ICML 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 Source Identification for Mixtures of Product Distributions COLT 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Speaker-Conversation Factorial Designs for Diarization Error Analysis Interspeech 2021 Stability and Generalization of Bilevel Programming in Hyperparameter Optimization NeurIPS 2021 StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling AAAI 2021 State Relevance for Off-Policy Evaluation ICML 2021 Statistical Estimation from Dependent Data ICML 2021 Statistical guarantees for generative models without domination ALT 2021 Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs JMLR 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Statistical inference for individual fairness ICLR 2021 Statistical Inference with M-Estimators on Adaptively Collected Data NeurIPS 2021 Statistically Consistent Saliency Estimation ICCV 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 Statistical mechanical analysis of neural network pruning UAI 2021 Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent COLT 2021 Statistical Query Lower Bounds for List-Decodable Linear Regression NeurIPS 2021 Statistical Query Lower Bounds for Tensor PCA JMLR 2021 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NeurIPS 2021