gaussian distribution

Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals COLT 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks ICLR 2022 Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally ALT 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private High-Dimensional Hypothesis Testing COLT 2022 Prompt Distribution Learning CVPR 2022 Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022 Wasserstein K-means for clustering probability distributions NeurIPS 2022 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021 Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent NeurIPS 2021 Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data IJCAI 2021 Explore Better Relative Position Embeddings from Encoding Perspective for Transformer Models EMNLP 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition ICCV 2021 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NeurIPS 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021 The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ACL 2021 Weak learning convex sets under normal distributions COLT 2021 Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020 Data Uncertainty Learning in Face Recognition CVPR 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020