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Author Information
Minshuo Chen (Georgia Tech)
Yu Bai (Salesforce Research)
Jason Lee (Princeton University)
Tuo Zhao (Georgia Tech)
Huan Wang (Salesforce Research)
Huan Wang is an senior research scientist at Salesforce Research. His research interests include machine learning, big data analytics, computer vision and NLP. He used to be a research scientist at Microsoft AI Research, Yahoo’s New York Labs, and an adjunct professor at the engineering school of New York University. He graduated as a Ph.D in Computer Science at Yale University in 2013. Before that, he received an M.Phil. from The Chinese University of Hong Kong and a B.Eng. from Zhejiang University, both in information engineering.
Caiming Xiong (Salesforce)
Richard Socher (Salesforce)
Richard Socher is Chief Scientist at Salesforce. He leads the company’s research efforts and brings state of the art artificial intelligence solutions into the platform. Prior, Richard was an adjunct professor at the Stanford Computer Science Department and the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. MetaMind’s deep learning AI platform analyzes, labels and makes predictions on image and text data so businesses can make smarter, faster and more accurate decisions.
More from the Same Authors
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2020 : How Important is the Train-Validation Split in Meta-Learning? »
Yu Bai -
2021 Spotlight: Understanding the Under-Coverage Bias in Uncertainty Estimation »
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2022 : Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint »
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao -
2023 : Provable Feature Learning in Gradient Descent, Jason Lee »
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2022 Poster: On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds »
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2021 : Invited talk 7 »
Jason Lee -
2021 Poster: Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL »
Minshuo Chen · Yan Li · Ethan Wang · Zhuoran Yang · Zhaoran Wang · Tuo Zhao -
2021 Poster: Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games »
Yu Bai · Chi Jin · Huan Wang · Caiming Xiong -
2021 Poster: Evaluating State-of-the-Art Classification Models Against Bayes Optimality »
Ryan Theisen · Huan Wang · Lav Varshney · Caiming Xiong · Richard Socher -
2021 Poster: Understanding the Under-Coverage Bias in Uncertainty Estimation »
Yu Bai · Song Mei · Huan Wang · Caiming Xiong -
2021 Poster: Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning »
Tengyang Xie · Nan Jiang · Huan Wang · Caiming Xiong · Yu Bai -
2020 : Contributed Talk - ProGen: Language Modeling for Protein Generation »
Ali Madani · Bryan McCann · Nikhil Naik · · Possu Huang · Richard Socher -
2020 Poster: Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning »
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2020 Poster: Theory-Inspired Path-Regularized Differential Network Architecture Search »
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi -
2020 Poster: Generalized Leverage Score Sampling for Neural Networks »
Jason Lee · Ruoqi Shen · Zhao Song · Mengdi Wang · zheng Yu -
2020 Oral: Theory-Inspired Path-Regularized Differential Network Architecture Search »
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi -
2020 Session: Orals & Spotlights Track 34: Deep Learning »
Tuo Zhao · Jimmy Ba -
2020 Poster: Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters »
Kaiyi Ji · Jason Lee · Yingbin Liang · H. Vincent Poor -
2020 Poster: Online Structured Meta-learning »
Huaxiu Yao · Yingbo Zhou · Mehrdad Mahdavi · Zhenhui (Jessie) Li · Richard Socher · Caiming Xiong -
2020 Poster: Beyond Lazy Training for Over-parameterized Tensor Decomposition »
Xiang Wang · Chenwei Wu · Jason Lee · Tengyu Ma · Rong Ge -
2020 Poster: Differentiable Top-k with Optimal Transport »
Yujia Xie · Hanjun Dai · Minshuo Chen · Bo Dai · Tuo Zhao · Hongyuan Zha · Wei Wei · Tomas Pfister -
2020 Poster: Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective »
Kaixuan Huang · Yuqing Wang · Molei Tao · Tuo Zhao -
2020 Poster: Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy »
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry -
2020 Spotlight: Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy »
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2020 Poster: Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot »
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2020 Poster: Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity »
Simon Du · Jason Lee · Gaurav Mahajan · Ruosong Wang -
2020 Poster: Near-Optimal Reinforcement Learning with Self-Play »
Yu Bai · Chi Jin · Tiancheng Yu -
2020 Poster: How to Characterize The Landscape of Overparameterized Convolutional Neural Networks »
Yihong Gu · Weizhong Zhang · Cong Fang · Jason Lee · Tong Zhang -
2020 Poster: A Simple Language Model for Task-Oriented Dialogue »
Ehsan Hosseini-Asl · Bryan McCann · Chien-Sheng Wu · Semih Yavuz · Richard Socher -
2020 Spotlight: A Simple Language Model for Task-Oriented Dialogue »
Ehsan Hosseini-Asl · Bryan McCann · Chien-Sheng Wu · Semih Yavuz · Richard Socher -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 Poster: LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition »
Zuxuan Wu · Caiming Xiong · Yu-Gang Jiang · Larry Davis -
2019 Poster: Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel »
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma -
2019 Spotlight: Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel »
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma -
2019 Poster: Towards Understanding the Importance of Shortcut Connections in Residual Networks »
Tianyi Liu · Minshuo Chen · Mo Zhou · Simon Du · Enlu Zhou · Tuo Zhao -
2019 Poster: Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods »
Maher Nouiehed · Maziar Sanjabi · Tianjian Huang · Jason Lee · Meisam Razaviyayn -
2019 Poster: Convergence of Adversarial Training in Overparametrized Neural Networks »
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee -
2019 Spotlight: Convergence of Adversarial Training in Overparametrized Neural Networks »
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee -
2019 Poster: Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards »
Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher -
2019 Poster: Neural Temporal-Difference Learning Converges to Global Optima »
Qi Cai · Zhuoran Yang · Jason Lee · Zhaoran Wang -
2019 Poster: Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds »
Minshuo Chen · Haoming Jiang · Wenjing Liao · Tuo Zhao -
2018 Poster: Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization »
Minshuo Chen · Lin Yang · Mengdi Wang · Tuo Zhao -
2018 Poster: Provable Gaussian Embedding with One Observation »
Ming Yu · Zhuoran Yang · Tuo Zhao · Mladen Kolar · Zhaoran Wang -
2017 Poster: Learned in Translation: Contextualized Word Vectors »
Bryan McCann · James Bradbury · Caiming Xiong · Richard Socher -
2016 : Richard Socher - Tackling the Limits of Deep Learning for NLP »
Richard Socher -
2014 Poster: Global Belief Recursive Neural Networks »
Romain Paulus · Richard Socher · Christopher Manning -
2013 Demonstration: Easy Text Classification with Machine Learning »
Richard Socher · Romain Paulus · Bryan McCann · Andrew Y Ng -
2013 Poster: Reasoning With Neural Tensor Networks for Knowledge Base Completion »
Richard Socher · Danqi Chen · Christopher D Manning · Andrew Y Ng -
2013 Poster: Zero-Shot Learning Through Cross-Modal Transfer »
Richard Socher · Milind Ganjoo · Christopher D Manning · Andrew Y Ng -
2012 Poster: Recursive Deep Learning on 3D Point Clouds »
Richard Socher · Bharath Bath · Brody Huval · Christopher D Manning · Andrew Y Ng -
2011 Poster: Unfolding Recursive Autoencoders for Paraphrase Detection »
Richard Socher · Eric H Huang · Jeffrey Pennin · Andrew Y Ng · Christopher D Manning -
2009 Poster: A Bayesian Analysis of Dynamics in Free Recall »
Richard Socher · Samuel J Gershman · Adler Perotte · Per Sederberg · David Blei · Kenneth Norman