More from the Same Authors

• 2021 : Towards Principled Disentanglement for Domain Generalization »
  Hanlin Zhang · Yi-Fan Zhang · Weiyang Liu · Adrian Weller · Bernhard Schölkopf · Eric Xing
• 2023 : Counterfactual Generation with Identifiability Guarantees »
  Hanqi Yan · Lingjing Kong · Lin Gui · Yuejie Chi · Eric Xing · Yulan He · Kun Zhang
• 2023 : Identification of Nonlinear Latent Hierarchical Causal Models »
  Lingjing Kong · Biwei Huang · Feng Xie · Eric Xing · Yuejie Chi · Kun Zhang
• 2023 : Making Scalable Meta Learning Practical »
  Sang Keun Choe · Sanket Vaibhav Mehta · Hwijeen Ahn · Willie Neiswanger · Pengtao Xie · Emma Strubell · Eric Xing
• 2022 Workshop: The First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward »
  Huaxiu Yao · Hugo Larochelle · Percy Liang · Colin Raffel · Jian Tang · Ying WEI · Saining Xie · Eric Xing · Chelsea Finn
• 2022 Poster: SDQ: Stochastic Differentiable Quantization with Mixed Precision »
  Xijie Huang · Zhiqiang Shen · Shichao Li · Zechun Liu · Hu Xianghong · Jeffry Wicaksana · Eric Xing · Kwang-Ting Cheng
• 2022 Spotlight: SDQ: Stochastic Differentiable Quantization with Mixed Precision »
  Xijie Huang · Zhiqiang Shen · Shichao Li · Zechun Liu · Hu Xianghong · Jeffry Wicaksana · Eric Xing · Kwang-Ting Cheng
• 2021 Workshop: Self-Supervised Learning for Reasoning and Perception »
  Pengtao Xie · Shanghang Zhang · Ishan Misra · Pulkit Agrawal · Katerina Fragkiadaki · Ruisi Zhang · Tassilo Klein · Asli Celikyilmaz · Mihaela van der Schaar · Eric Xing
• 2021 Workshop: Interpretable Machine Learning in Healthcare »
  Yuyin Zhou · Xiaoxiao Li · Vicky Yao · Pengtao Xie · DOU QI · Nicha Dvornek · Julia Schnabel · Judy Wawira · Yifan Peng · Ronald Summers · Alan Karthikesalingam · Lei Xing · Eric Xing
• 2019 Workshop: Adaptive and Multitask Learning: Algorithms & Systems »
  Maruan Al-Shedivat · Anthony Platanios · Otilia Stretcu · Jacob Andreas · Ameet Talwalkar · Rich Caruana · Tom Mitchell · Eric Xing
• 2019 Workshop: Learning and Reasoning with Graph-Structured Representations »
  Ethan Fetaya · Zhiting Hu · Thomas Kipf · Yujia Li · Xiaodan Liang · Renjie Liao · Raquel Urtasun · Hao Wang · Max Welling · Eric Xing · Richard Zemel
• 2019 Poster: Theoretically Principled Trade-off between Robustness and Accuracy »
  Hongyang Zhang · Yaodong Yu · Jiantao Jiao · Eric Xing · Laurent El Ghaoui · Michael Jordan
• 2019 Oral: Theoretically Principled Trade-off between Robustness and Accuracy »
  Hongyang Zhang · Yaodong Yu · Jiantao Jiao · Eric Xing · Laurent El Ghaoui · Michael Jordan
• 2018 Poster: Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis »
  Pengtao Xie · Wei Wu · Yichen Zhu · Eric Xing
• 2018 Poster: Transformation Autoregressive Networks »
  Junier Oliva · Kumar Avinava Dubey · Manzil Zaheer · Barnabás Póczos · Ruslan Salakhutdinov · Eric Xing · Jeff Schneider
• 2018 Oral: Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis »
  Pengtao Xie · Wei Wu · Yichen Zhu · Eric Xing
• 2018 Oral: Transformation Autoregressive Networks »
  Junier Oliva · Kumar Avinava Dubey · Manzil Zaheer · Barnabás Póczos · Ruslan Salakhutdinov · Eric Xing · Jeff Schneider
• 2018 Poster: Nonoverlap-Promoting Variable Selection »
  Pengtao Xie · Hongbao Zhang · Yichen Zhu · Eric Xing
• 2018 Poster: DiCE: The Infinitely Differentiable Monte Carlo Estimator »
  Jakob Foerster · Gregory Farquhar · Maruan Al-Shedivat · Tim Rocktäschel · Eric Xing · Shimon Whiteson
• 2018 Poster: Gated Path Planning Networks »
  Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov
• 2018 Oral: Gated Path Planning Networks »
  Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov
• 2018 Oral: Nonoverlap-Promoting Variable Selection »
  Pengtao Xie · Hongbao Zhang · Yichen Zhu · Eric Xing
• 2018 Oral: DiCE: The Infinitely Differentiable Monte Carlo Estimator »
  Jakob Foerster · Gregory Farquhar · Maruan Al-Shedivat · Tim Rocktäschel · Eric Xing · Shimon Whiteson
• 2017 Poster: Toward Controlled Generation of Text »
  Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
• 2017 Talk: Toward Controlled Generation of Text »
  Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
• 2017 Poster: Uncorrelation and Evenness: a New Diversity-Promoting Regularizer »
  Pengtao Xie · Aarti Singh · Eric Xing
• 2017 Poster: Learning Latent Space Models with Angular Constraints »
  Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
• 2017 Talk: Learning Latent Space Models with Angular Constraints »
  Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
• 2017 Talk: Uncorrelation and Evenness: a New Diversity-Promoting Regularizer »
  Pengtao Xie · Aarti Singh · Eric Xing
• 2017 Poster: Post-Inference Prior Swapping »
  Willie Neiswanger · Eric Xing
• 2017 Talk: Post-Inference Prior Swapping »
  Willie Neiswanger · Eric Xing