2020.12: Talk at 2020 ICSA Applied Statistics Symposium.
2020.11: Talk at Adobe Transcend.
2020.8: Talk at Zhejiang U.
2020.8: Talk at Yahoo! Research.
2020.8: Talk at Georgia Tech.
2019.12: Two papers accepted by ICLR 2019.
2019.12: Will give an invited talk at 2020 ICSA Applied Statistics Symposium in Texas in May 2020.
2019.12: Will give an invited talk at Department of Statistics and Data Sciences, University of Texas at Austin in May 2020.
2019.11: Two papers accepted by AAAI 2019.
2019.10: Invited talk at Department of Biostatistics, University at Buffalo.
2019.9: Proposal funded by Yahoo! Research. Thanks, Yahoo!.
2019.9: Two papers accepted by NeurIPS 2019.
2019.8: Two papers accepted by EMNLP 2019.
2019.7: One paper accepted by ICCV 2019.
2019.5: Two papers accepted by IJCAI 2019.
2019.4: Gave a talk at Rochester University.
2019.4: One papers accepted by ICML 2019.
2019.3: Gave a presentation at UBCSE-IBM workshop.
2019.3: One papers accepted by ICME 2019.
2019.2: One papers accepted by NAACL 2019.
2019.1: Visited Microsoft Research Redmond.
2019.1: One paper accepted by SCIENCE CHINA Information Sciences.
2018.12: One paper accepted by ICLR 2019.
2018.12: Three papers accepted by AISTATS 2019.
2018.10: Three papers accepted by AAAI 2019.
2018.9: Gave a talk at Department of Epidemiology and Environmental Health, University at Buffalo.
One paper accepted by IROS 2018.
One paper accepted by UAI 2018.
Two papers accepted by ICML 2018.
Two papers accepted by AISTATS 2018.
One paper accepted by AAAI 2018.
One paper accepted by NIPS 2017.
One paper accepted by ICML 2017.
I will be joining Department of Computer Science and Engineering, University at Buffalo.
One paper accepted by ACL 2017.
One paper accepted by AISTATS 2017.
Two papers accepted by NIPS 2016.
Slides for the talk given at Xidian University available:
Large-Scale Bayesian Learning with Stochastic Gradient Markov Chain Monte Carlo.
[without video (small)] [with video (large)]
Slides for the lectures for the Duke-Tsinghua Machine Learning Summer School at Duke-Kunshan University available:
Introduction to Stochastic Gradient Markov Chain Monte Carlo Methods.
[without video (small)] [with video (large)]
Two papers accepted by ECML 2016.
I will be lecturing at Duke-Tsinghua Machine Learning Summer School held in August 1 - 10 at Duke-Kunshan University, China.