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distribution learning

84 papers

Papers

Learning and testing junta distributions with sub cube conditioning COLT 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021 Partition-Guided GANs CVPR 2021 Generating Realistic Stock Market Order Streams AAAI 2020 Learning Structured Distributions From Untrusted Batches: Faster and Simpler NeurIPS 2020 Learning Sums of Independent Random Variables with Sparse Collective Support JMLR 2020 Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information JMLR 2020 Optimal Robust Learning of Discrete Distributions from Batches ICML 2020 Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 Communication-Constrained Inference and the Role of Shared Randomness ICML 2019 Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NeurIPS 2019 How Large Are Lions? Inducing Distributions over Quantitative Attributes ACL 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 Learning Distributions Generated by One-Layer ReLU Networks NeurIPS 2019 Learning to Sample Hard Instances for Graph Algorithms ACML 2019 Private Hypothesis Selection NeurIPS 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NeurIPS 2019 Mean-Variance Loss for Deep Age Estimation From a Face CVPR 2018 Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NeurIPS 2018 Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network IJCAI 2018