gaussian distribution

Distributed Signal Detection under Communication Constraints COLT 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Efficient Parametric Multi-Fidelity Surface Mapping RSS 2020 Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model COLT 2020 Learning Probabilistic Sentence Representations from Paraphrases ACL 2020 Modeling Noisy Annotations for Crowd Counting NeurIPS 2020 Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals NeurIPS 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 Stochastic Classifiers for Unsupervised Domain Adaptation CVPR 2020 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Confidence Weighted Multitask Learning AAAI 2019 Gaussian-Based Pooling for Convolutional Neural Networks NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Privately Learning High-Dimensional Distributions COLT 2019 Probabilistic Face Embeddings ICCV 2019 Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks IJCAI 2019 Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NeurIPS 2019 VAE-Based Regularization for Deep Speaker Embedding Interspeech 2019 Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits JMLR 2018 Estimation with Incomplete Data: The Linear Case IJCAI 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018 Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NeurIPS 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017