More from the Same Authors

• 2021 : Multi-modal Self-supervised Pre-training for Large-scale Genome Data »
  Shentong Mo · Xi Fu · Chenyang Hong · Yizhen Chen · Yuxuan Zheng · Xiangru Tang · Yanyan Lan · Zhiqiang Shen · Eric Xing
• 2022 : Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation »
  yifan zhang · Hanlin Zhang · Zachary Lipton · Li Erran Li · Eric Xing
• 2022 : Sample-Specific Contextualized Graphical Models Using Clinical and Molecular Data Reveal Transcriptional Network Heterogeneity Across 7000 Tumors »
  Caleb Ellington · Ben Lengerich · Thomas Watkins · Jiekun Yang · Manolis Kellis · Eric Xing
• 2021 Workshop: Math AI for Education (MATHAI4ED): Bridging the Gap Between Research and Smart Education »
  Pan Lu · Yuhuai Wu · Sean Welleck · Xiaodan Liang · Eric Xing · James McClelland
• 2021 Poster: Multi-task Learning of Order-Consistent Causal Graphs »
  Xinshi Chen · Haoran Sun · Caleb Ellington · Eric Xing · Le Song
• 2020 : Panel Discussion & Closing »
  Yejin Choi · Alexei Efros · Chelsea Finn · Kristen Grauman · Quoc V Le · Yann LeCun · Ruslan Salakhutdinov · Eric Xing
• 2020 Workshop: Self-Supervised Learning -- Theory and Practice »
  Pengtao Xie · Shanghang Zhang · Pulkit Agrawal · Ishan Misra · Cynthia Rudin · Abdelrahman Mohamed · Wenzhen Yuan · Barret Zoph · Laurens van der Maaten · Xingyi Yang · Eric Xing
• 2020 Poster: Regularizing Black-box Models for Improved Interpretability »
  Gregory Plumb · Maruan Al-Shedivat · Ángel Alexander Cabrera · Adam Perer · Eric Xing · Ameet Talwalkar
• 2020 Poster: AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning »
  Hao Zhang · Yuan Li · Zhijie Deng · Xiaodan Liang · Lawrence Carin · Eric Xing
• 2020 Poster: Improving GAN Training with Probability Ratio Clipping and Sample Reweighting »
  Yue Wu · Pan Zhou · Andrew Wilson · Eric Xing · Zhiting Hu
• 2019 : Poster Presentations »
  Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange
• 2019 Workshop: Learning with Rich Experience: Integration of Learning Paradigms »
  Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing
• 2019 Poster: Learning Robust Global Representations by Penalizing Local Predictive Power »
  Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing
• 2019 Poster: Learning Data Manipulation for Augmentation and Weighting »
  Zhiting Hu · Bowen Tan · Russ Salakhutdinov · Tom Mitchell · Eric Xing
• 2019 Poster: Learning Sample-Specific Models with Low-Rank Personalized Regression »
  Ben Lengerich · Bryon Aragam · Eric Xing
• 2018 Poster: The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models »
  Chen Dan · Liu Leqi · Bryon Aragam · Pradeep Ravikumar · Eric Xing
• 2018 Poster: Symbolic Graph Reasoning Meets Convolutions »
  Xiaodan Liang · Zhiting Hu · Hao Zhang · Liang Lin · Eric Xing
• 2018 Poster: DAGs with NO TEARS: Continuous Optimization for Structure Learning »
  Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing
• 2018 Spotlight: DAGs with NO TEARS: Continuous Optimization for Structure Learning »
  Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing
• 2018 Poster: Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems »
  Mrinmaya Sachan · Kumar Avinava Dubey · Tom Mitchell · Dan Roth · Eric Xing
• 2018 Poster: Deep Generative Models with Learnable Knowledge Constraints »
  Zhiting Hu · Zichao Yang · Russ Salakhutdinov · LIANHUI Qin · Xiaodan Liang · Haoye Dong · Eric Xing
• 2018 Poster: Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation »
  Yuan Li · Xiaodan Liang · Zhiting Hu · Eric Xing
• 2018 Poster: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
  Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
• 2018 Spotlight: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
  Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
• 2018 Poster: Unsupervised Text Style Transfer using Language Models as Discriminators »
  Zichao Yang · Zhiting Hu · Chris Dyer · Eric Xing · Taylor Berg-Kirkpatrick
• 2017 Poster: Structured Generative Adversarial Networks »
  Zhijie Deng · Hao Zhang · Xiaodan Liang · Luona Yang · Shizhen Xu · Jun Zhu · Eric Xing
• 2016 : Eric Xing »
  Eric Xing
• 2016 Poster: Variance Reduction in Stochastic Gradient Langevin Dynamics »
  Kumar Avinava Dubey · Sashank J. Reddi · Sinead Williamson · Barnabas Poczos · Alexander Smola · Eric Xing
• 2016 Poster: Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices »
  Kirthevasan Kandasamy · Maruan Al-Shedivat · Eric Xing
• 2016 Poster: Stochastic Variational Deep Kernel Learning »
  Andrew Wilson · Zhiting Hu · Russ Salakhutdinov · Eric Xing
• 2015 Workshop: Nonparametric Methods for Large Scale Representation Learning »
  Andrew G Wilson · Alexander Smola · Eric Xing
• 2015 Poster: The Human Kernel »
  Andrew Wilson · Christoph Dann · Chris Lucas · Eric Xing
• 2015 Spotlight: The Human Kernel »
  Andrew Wilson · Christoph Dann · Chris Lucas · Eric Xing
• 2014 Workshop: Modern Nonparametrics 3: Automating the Learning Pipeline »
  Eric Xing · Mladen Kolar · Arthur Gretton · Samory Kpotufe · Han Liu · Zoltán Szabó · Alan Yuille · Andrew G Wilson · Ryan Tibshirani · Sasha Rakhlin · Damian Kozbur · Bharath Sriperumbudur · David Lopez-Paz · Kirthevasan Kandasamy · Francesco Orabona · Andreas Damianou · Wacha Bounliphone · Yanshuai Cao · Arijit Das · Yingzhen Yang · Giulia DeSalvo · Dmitry Storcheus · Roberto Valerio
• 2014 Workshop: Modern Machine Learning and Natural Language Processing »
  Ankur P Parikh · Avneesh Saluja · Chris Dyer · Eric Xing
• 2014 Poster: On Model Parallelization and Scheduling Strategies for Distributed Machine Learning »
  Seunghak Lee · Jin Kyu Kim · Xun Zheng · Qirong Ho · Garth Gibson · Eric Xing
• 2014 Poster: Dependent nonparametric trees for dynamic hierarchical clustering »
  Kumar Avinava Dubey · Qirong Ho · Sinead Williamson · Eric Xing
• 2013 Poster: More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server »
  Qirong Ho · James Cipar · Henggang Cui · Seunghak Lee · Jin Kyu Kim · Phillip B. Gibbons · Garth Gibson · Greg Ganger · Eric Xing
• 2013 Oral: More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server »
  Qirong Ho · James Cipar · Henggang Cui · Seunghak Lee · Jin Kyu Kim · Phillip B. Gibbons · Garth Gibson · Greg Ganger · Eric Xing
• 2013 Poster: Variance Reduction for Stochastic Gradient Optimization »
  Chong Wang · Xi Chen · Alexander Smola · Eric Xing
• 2013 Poster: Restricting exchangeable nonparametric distributions »
  Sinead Williamson · Steven MacEachern · Eric Xing
• 2013 Spotlight: Restricting exchangeable nonparametric distributions »
  Sinead Williamson · Steven MacEachern · Eric Xing
• 2013 Poster: A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks »
  Junming Yin · Qirong Ho · Eric Xing
• 2012 Workshop: Spectral Algorithms for Latent Variable Models »
  Ankur P Parikh · Le Song · Eric Xing
• 2012 Poster: Monte Carlo Methods for Maximum Margin Supervised Topic Models »
  Qixia Jiang · Jun Zhu · Maosong Sun · Eric Xing
• 2012 Poster: On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks »
  Qirong Ho · Junming Yin · Eric Xing
• 2012 Poster: Symmetric Correspondence Topic Models for Multilingual Text Analysis »
  Kosuke Fukumasu · Koji Eguchi · Eric Xing
• 2012 Spotlight: Symmetric Correspondence Topic Models for Multilingual Text Analysis »
  Kosuke Fukumasu · Koji Eguchi · Eric Xing
• 2011 Poster: Infinite Latent SVM for Classification and Multi-task Learning »
  Jun Zhu · Ning Chen · Eric Xing
• 2011 Poster: Kernel Embeddings of Latent Tree Graphical Models »
  Le Song · Ankur P Parikh · Eric Xing
• 2011 Poster: Large-Scale Category Structure Aware Image Categorization »
  Bin Zhao · Li Fei-Fei · Eric Xing
• 2010 Poster: Large Margin Learning of Upstream Scene Understanding Models »
  Jun Zhu · Li-Jia Li · Li Fei-Fei · Eric Xing
• 2010 Poster: Predictive Subspace Learning for Multi-view Data: a Large Margin Approach »
  Ning Chen · Jun Zhu · Eric Xing
• 2010 Poster: Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification »
  Li-Jia Li · Hao Su · Eric Xing · Li Fei-Fei
• 2010 Poster: Adaptive Multi-Task Lasso: with Application to eQTL Detection »
  Seunghak Lee · Jun Zhu · Eric Xing
• 2009 Poster: Heterogeneous multitask learning with joint sparsity constraints »
  Xiaolin Yang · Seyoung Kim · Eric Xing
• 2009 Poster: Time-Varying Dynamic Bayesian Networks »
  Le Song · Mladen Kolar · Eric Xing
• 2009 Spotlight: Time-Varying Dynamic Bayesian Networks »
  Le Song · Mladen Kolar · Eric Xing
• 2009 Poster: Sparsistent Learning of Varying-coefficient Models with Structural Changes »
  Mladen Kolar · Le Song · Eric Xing
• 2009 Spotlight: Sparsistent Learning of Varying-coefficient Models with Structural Changes »
  Mladen Kolar · Le Song · Eric Xing
• 2008 Workshop: Analyzing Graphs: Theory and Applications »
  Edo M Airoldi · David Blei · Jake M Hofman · Tony Jebara · Eric Xing
• 2008 Poster: Mixed Membership Stochastic Blockmodels »
  Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing
• 2008 Spotlight: Mixed Membership Stochastic Blockmodels »
  Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing
• 2008 Poster: Partially Observed Maximum Entropy Discrimination Markov Networks »
  Jun Zhu · Eric Xing · Bo Zhang
• 2007 Workshop: Statistical Network Models »
  Kevin Murphy · Lise Getoor · Eric Xing · Raphael Gottardo
• 2007 Poster: HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation »
  Bing Zhao · Eric Xing
• 2006 Talk: A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space »
  KyungAh Sohn · Eric Xing