Statistical Learning and AI
Webpage:
Director: Qiang Liu
Yihao Feng Ph.D. Student yihao [at] cs utexas edu
Chengyue Gong Ph.D. Student cygong [at] cs utexas edu
Xing Han Ph.D. Student
Bo Liu Ph.D. Student
Qiang Liu Faculty
Xingchao Liu Ph.D. Student
Tongzheng Ren Ph.D. Student
Ziyang Tang Ph.D. Student ztang [at] cs utexas edu
Dilin Wang Ph.D. Student
Lemeng Wu Ph.D. Student lmwu [at] cs utexas edu
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A kernel Loss for Solving Bellman Equation 2019
Yihao Feng, Lihong Li, Qiang Liu,
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation 2019
Ziyang Tang*, Yihao Feng*, Lihong Li, Denny Zhou, Qiang Liu ,
Exploration via Hindsight Goal Generation 2019
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng,
Improving Neural Language Modeling via Adversarial Training 2019
Dilin Wang*, Chengyue Gong*, Qiang Liu,
Learning Self-Imitating Diverse Policies 2019
Tanmay Gangwani, Qiang Liu, Jian Peng,
LithoROC: Lithography Hotspot Detection with Explicit ROC Optimization 2019
Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z Pan,
Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning 2019
Chengyue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z Pan,
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models 2019
Dilin Wang, Qiang Liu,
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy 2019
Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng,
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization 2019
Chengyue Gong, Jian Peng, Qiang Liu,
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel 2019
Colin Wei, Jason D. Lee, Qiang Liu, Tengyu Ma,
Splitting Steepest Descent for Growing Neural Architectures 2019
Qiang Liu, Lemeng Wu and Dilin Wang, Advances in Neural Information Processing Systems (2019), pp. 10655--10665.
Stein Variational Gradient Descent With Matrix-Valued Kernels 2019
Dilin Wang*, Ziyang Tang*, Chandrajit Bajaj, Qiang Liu,
Breaking the curse of horizon: Infinite-horizon off-policy estimation 2018
Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou,
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy 2018
Jiasen Yang, Qiang Liu, Vinayak Rao, Jennifer Neville ,
Learning to Explore via Meta-Policy Gradient 2018
Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng,
Stein Variational Gradient Descent as Moment Matching 2018
Qiang Liu, Dilin Wang,
Stein Variational Gradient Descent Without Gradient 2018
Jun Han, Qiang Liu,
Stein Variational Message Passing for Continuous Graphical Models 2018
Dilin Wang, Zhe Zeng, Qiang Liu,
Variational inference with tail-adaptive f-divergence 2018
Dilin Wang, Hao Liu, Qiang Liu,