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gaussian distribution

127 papers

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Co-occurring keywords

sample complexity (1169) uncertainty quantification (1393) bayesian inference (1907) online learning (1777) learning theory (519) differential privacy (1016) agnostic learning (76) gaussian process (1200) statistical query (50) variational inference (2069)

Papers

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers ICML 2022
Private High-Dimensional Hypothesis Testing COLT 2022
Advanced Speaker Embedding with Predictive Variance of Gaussian Distribution for Speaker Adaptation in TTS INTERSPEECH 2022
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals COLT 2022
Learning Structured Gaussians To Approximate Deep Ensembles CVPR 2022
Gaussian Multi-head Attention for Simultaneous Machine Translation ACL 2022
Entropic Gromov-Wasserstein between Gaussian Distributions ICML 2022
Wasserstein $K$-means for clustering probability distributions NIPS 2022
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization NIPS 2022
List-Decodable Sparse Mean Estimation NIPS 2022
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally ALT 2022
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NIPS 2021
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition ICCV 2021
Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021
Explore Better Relative Position Embeddings from Encoding Perspective for Transformer Models EMNLP 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent NIPS 2021
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension IJCNLP 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
Weak learning convex sets under normal distributions COLT 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data IJCAI 2021
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ACL 2021