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Changyou Chen

Identifiers

  • name variant Changyou Chen 0.60 · backfill

Papers (35)

  1. Bayesian Uncertainty Matching for Unsupervised Domain Adaptation cs.LG · 2019 · author #5
  2. On Norm-Agnostic Robustness of Adversarial Training cs.LG · 2019 · author #2
  3. Topic-Guided Variational Autoencoders for Text Generation cs.CL · 2019 · author #7
  4. Scalable Thompson Sampling via Optimal Transport stat.ML · 2019 · author #3
  5. Improving Sequence-to-Sequence Learning via Optimal Transport cs.CL · 2019 · author #9
  6. Adversarial Learning of a Sampler Based on an Unnormalized Distribution cs.LG · 2019 · author #5
  7. Self-Adversarially Learned Bayesian Sampling stat.ML · 2018 · author #3
  8. Variance Reduction in Stochastic Particle-Optimization Sampling stat.ML · 2018 · author #3
  9. Sequence Generation with Guider Network cs.CL · 2018 · author #2
  10. Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only cs.LG · 2018 · author #2
  11. Distributionally Adversarial Attack cs.LG · 2018 · author #2
  12. Policy Optimization as Wasserstein Gradient Flows cs.LG · 2018 · author #2
  13. A Unified Particle-Optimization Framework for Scalable Bayesian Sampling stat.ML · 2018 · author #1
  14. Learning Structural Weight Uncertainty for Sequential Decision-Making stat.ML · 2017 · author #3
  15. On Connecting Stochastic Gradient MCMC and Differential Privacy stat.ML · 2017 · author #2
  16. Particle Optimization in Stochastic Gradient MCMC stat.ML · 2017 · author #1
  17. Zero-Shot Learning via Class-Conditioned Deep Generative Models cs.LG · 2017 · author #6
  18. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching stat.ML · 2017 · author #3
  19. A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC stat.ML · 2017 · author #1
  20. Continuous-Time Flows for Efficient Inference and Density Estimation stat.ML · 2017 · author #1
  21. Stochastic Gradient Monomial Gamma Sampler stat.ML · 2017 · author #2
  22. Mechanism of cellular effect directly induced by magnetic nanoparticles under magnetic fields physics.bio-ph · 2017 · author #2
  23. Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling cs.CL · 2016 · author #3
  24. Earliness-Aware Deep Convolutional Networks for Early Time Series Classification cs.LG · 2016 · author #2
  25. On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators stat.ML · 2016 · author #1
  26. Stochastic Gradient MCMC with Stale Gradients stat.ML · 2016 · author #1
  27. Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling cs.CL · 2016 · author #2
  28. Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes stat.ML · 2016 · author #3
  29. Nonlinear Statistical Learning with Truncated Gaussian Graphical Models stat.ML · 2016 · author #3
  30. Towards Unifying Hamiltonian Monte Carlo and Slice Sampling stat.ML · 2016 · author #3
  31. Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization stat.ML · 2015 · author #1
  32. Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks stat.ML · 2015 · author #2
  33. High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models stat.ML · 2015 · author #2
  34. Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data stat.ML · 2015 · author #3
  35. Theory of Dependent Hierarchical Normalized Random Measures cs.LG · 2012 · author #1

Mentions

  • 1205.4159 #1 · backfill · confidence 0.70 Changyou Chen

Frequent Coauthors