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Author Information
Xi Chen (NYU)
Xi Chen is an associate professor with tenure at Stern School of Business at New York University, who is also an affiliated professor to Computer Science and Center for Data Science. Before that, he was a Postdoc in the group of Prof. Michael Jordan at UC Berkeley. He obtained his Ph.D. from the Machine Learning Department at Carnegie Mellon University (CMU). He studies highdimensional statistical learning, online learning, largescale stochastic optimization, and applications to operations. He has published more than 20 journal articles in statistics, machine learning, and operations, and 30 top machine learning peerreviewed conference proceedings. He received NSF Career Award, ICSA Outstanding Young Researcher Award, Faculty Research Awards from Google, Adobe, Alibaba, and Bloomberg, and was featured in Forbes list of “30 Under30 in Science”.
Qihang Lin (University of Iowa)
Javier Pena (Carnegie Mellon University)
More from the Same Authors

2018 Poster: NearOptimal Policies for Dynamic Multinomial Logit Assortment Selection Models »
Yining Wang · Xi Chen · Yuan Zhou 
2016 Poster: On the Recursive Teaching Dimension of VC Classes »
Peter Chen · Xi Chen · Yu Cheng · Bo Tang 
2016 Poster: Homotopy Smoothing for NonSmooth Problems with Lower Complexity than $O(1/\epsilon)$ »
Yi Xu · Yan Yan · Qihang Lin · Tianbao Yang 
2016 Poster: InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets »
Xi Chen · Peter Chen · Yan Duan · Rein Houthooft · John Schulman · Ilya Sutskever · Pieter Abbeel 
2016 Poster: VIME: Variational Information Maximizing Exploration »
Rein Houthooft · Xi Chen · Peter Chen · Yan Duan · John Schulman · Filip De Turck · Pieter Abbeel 
2016 Poster: Improving Variational Autoencoders with Inverse Autoregressive Flow »
Diederik Kingma · Tim Salimans · Rafal Jozefowicz · Peter Chen · Xi Chen · Ilya Sutskever · Max Welling 
2016 Poster: Improved Techniques for Training GANs »
Tim Salimans · Ian Goodfellow · Wojciech Zaremba · Vicki Cheung · Alec Radford · Peter Chen · Xi Chen 
2014 Poster: Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing »
Yuchen Zhang · Xi Chen · Denny Zhou · Michael Jordan 
2014 Spotlight: Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing »
Yuchen Zhang · Xi Chen · Denny Zhou · Michael Jordan 
2014 Poster: An Accelerated Proximal Coordinate Gradient Method »
Qihang Lin · Zhaosong Lu · Lin Xiao 
2013 Workshop: Crowdsourcing: Theory, Algorithms and Applications »
Jennifer Wortman Vaughan · Greg Stoddard · ChienJu Ho · Adish Singla · Michael Bernstein · Devavrat Shah · Arpita Ghosh · Evgeniy Gabrilovich · Denny Zhou · Nikhil Devanur · Xi Chen · Alexander Ihler · Qiang Liu · Genevieve Patterson · Ashwinkumar Badanidiyuru Varadaraja · Hossein Azari Soufiani · Jacob Whitehill 
2013 Poster: Variance Reduction for Stochastic Gradient Optimization »
Chong Wang · Xi Chen · Alexander Smola · Eric Xing 
2012 Poster: Clustering by Nonnegative Matrix Factorization Using Graph Random Walk »
Zhirong Yang · Tele Hao · Onur Dikmen · Xi Chen · Erkki Oja 
2010 Spotlight: GraphValued Regression »
Han Liu · Xi Chen · John Lafferty · Larry Wasserman 
2010 Poster: Multivariate Dyadic Regression Trees for Sparse Learning Problems »
Han Liu · Xi Chen 
2010 Poster: GraphValued Regression »
Han Liu · Xi Chen · John Lafferty · Larry Wasserman 
2009 Poster: Nonparametric Greedy Algorithms for the Sparse Learning Problem »
Han Liu · Xi Chen