Yulai Cong | DeepAI

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Featured Co-authors

Lawrence Carin
178 publications
Mingyuan Zhou
110 publications
Bo Chen
105 publications
Hongwei Liu
23 publications
Sijia Wang
12 publications
Ke Bai
9 publications
Shuyang Dai
8 publications
Miaoyun Zhao
6 publications
Junya Chen
5 publications
Jianqiao Li
4 publications

∙ 07/08/2022

Big Learning: A Universal Machine Learning Paradigm?

Recent breakthroughs based on big/foundation models reveal a vague avenu...

53 Yulai Cong, et al. ∙

∙ 07/13/2020

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence

Maximum likelihood (ML) and adversarial learning are two popular approac...

1 Miaoyun Zhao, et al. ∙

∙ 06/16/2020

GO Hessian for Expectation-Based Objectives

An unbiased low-variance gradient estimator, termed GO gradient, was pro...

1 Yulai Cong, et al. ∙

∙ 06/13/2020

GAN Memory with No Forgetting

Seeking to address the fundamental issue of memory in lifelong learning,...

1 Yulai Cong, et al. ∙

∙ 02/26/2020

On Leveraging Pretrained GANs for Limited-Data Generation

Recent work has shown GANs can generate highly realistic images that are...

42 Miaoyun Zhao, et al. ∙

∙ 01/17/2019

GO Gradient for Expectation-Based Objectives

Within many machine learning algorithms, a fundamental problem concerns ...

7 Yulai Cong, et al. ∙

∙ 06/06/2017

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC

It is challenging to develop stochastic gradient based scalable inferenc...

1 Yulai Cong, et al. ∙

∙ 12/09/2015

Gamma Belief Networks

To infer multilayer deep representations of high-dimensional discrete an...

1 Mingyuan Zhou, et al. ∙

∙ 11/06/2015

The Poisson Gamma Belief Network

To infer a multilayer representation of high-dimensional count vectors, ...

1 Mingyuan Zhou, et al. ∙

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