conftrace_

distribution learning

75 papers

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Co-occurring keywords

sample complexity (1169) generative adversarial network (1944) differential privacy (1016) discrete distribution (49) probability distribution (265) learning theory (519) wasserstein distance (417) generative model (2892) loss function (462) total variation distance (52)

Papers

Distribution Learnability and Robustness NIPS 2023
Prompt Distribution Learning CVPR 2022
Learning with Distributional Inverters ALT 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NIPS 2022
Learning to Communicate Effectively Between Battery-free Devices NSDI 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022
Non-Gaussian Component Analysis via Lattice Basis Reduction COLT 2022
Efficient interventional distribution learning in the PAC framework AISTATS 2022
PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022
Distribution Aware VoteNet for 3D Object Detection AAAI 2022
An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm ICML 2022
Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021
Partition-Guided GANs CVPR 2021
Differentially Private Sampling from Distributions NIPS 2021
Deep Latent Graph Matching ICML 2021
GAN Ensemble for Anomaly Detection AAAI 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021
How Well Generative Adversarial Networks Learn Distributions JMLR 2021
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection CVPR 2021
Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020
Learning Sums of Independent Random Variables with Sparse Collective Support JMLR 2020
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020
Generating Realistic Stock Market Order Streams AAAI 2020