Search Results for author: Jianqiao Li

Found 4 papers, 3 papers with code

GO Hessian for Expectation-Based Objectives

1 code implementation16 Jun 2020 Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin

An unbiased low-variance gradient estimator, termed GO gradient, was proposed recently for expectation-based objectives $\mathbb{E}_{q_{\boldsymbol{\gamma}}(\boldsymbol{y})} [f(\boldsymbol{y})]$, where the random variable (RV) $\boldsymbol{y}$ may be drawn from a stochastic computation graph with continuous (non-reparameterizable) internal nodes and continuous/discrete leaves.

GAN Memory with No Forgetting

1 code implementation NeurIPS 2020 Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin

As a fundamental issue in lifelong learning, catastrophic forgetting is directly caused by inaccessible historical data; accordingly, if the data (information) were memorized perfectly, no forgetting should be expected.

Adversarial Learning of a Sampler Based on an Unnormalized Distribution

3 code implementations3 Jan 2019 Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

We investigate adversarial learning in the case when only an unnormalized form of the density can be accessed, rather than samples.

Q-Learning

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