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Papers
Cauchy–Schwarz Regularized Autoencoder
JMLR 2022
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
ICML 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
NIPS 2022
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
AISTATS 2021
Monte Carlo Variational Auto-Encoders
ICML 2021
Latent variable modeling with random features
AISTATS 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
AISTATS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
NIPS 2021