An FPTAS for Approximating a Sum of Random Variables - Jian Li 015; Tianlin Shi (CoRR, 2013)

A Reverse Hierarchy Model for Predicting Eye Fixations. - Tianlin Shi; Ming Liang; Xiaolin Hu (CVPR, 2014)

Correlated Compressive Sensing for Networked Data. - Tianlin Shi; Da Tang; Liwen Xu; Thomas Moscibroda (UAI, 2014)

A fully polynomial-time approximation scheme for approximating a sum of random variables. - Jian Li 015; Tianlin Shi (Oper. Res. Lett., 2014)

Learning Where to Sample in Structured Prediction. - Tianlin Shi; Jacob Steinhardt; Percy Liang (AISTATS, 2015)

Max-Margin Deep Generative Models. - Chongxuan Li; Jun Zhu 001; Tianlin Shi; Bo Zhang 010 (NIPS, 2015)

Improving Survey Aggregation with Sparsely Represented Signals. - Tianlin Shi; Forest Agostinelli; Matthew Staib; David P. Wipf; Thomas Moscibroda (KDD, 2016)

Adversarial Learning for Neural Dialogue Generation. - Jiwei Li 001; Will Monroe; Tianlin Shi; Sébastien Jean; Alan Ritter; Dan Jurafsky (EMNLP, 2017)

World of Bits: An Open-Domain Platform for Web-Based Agents. - Tianlin Shi; Andrej Karpathy; Linxi Fan; Jonathan Hernandez; Percy Liang (ICML, 2017)

Adversarial Learning for Neural Dialogue Generation. - Jiwei Li 001; Will Monroe; Tianlin Shi; Alan Ritter; Dan Jurafsky (CoRR, 2017)

Online Bayesian Passive-Aggressive Learning. - Tianlin Shi; Jun Zhu 001 (J. Mach. Learn. Res., 2017)

Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. - Evan Zheran Liu; Kelvin Guu; Panupong Pasupat; Tianlin Shi; Percy Liang (ICLR (Poster), 2018)