Yaodong Yu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction	2024	Ziyang Wu Tianjiao Ding Yifu Lu Druv Pai Jingyuan Zhang Weida Wang Yaodong Yu Yi Ma Benjamin D. Haeffele
+ PDF Chat	M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation	2024	Sucheng Ren Yaodong Yu Nataniel Ruiz Feng Wang Alan Yuille Cihang Xie
+ PDF Chat	Causal Image Modeling for Efficient Visual Understanding	2024	Feng Wang Timing Yang Yaodong Yu Sucheng Ren Guoyizhe Wei Angtian Wang Wei Shao Yuyin Zhou Alan Yuille Cihang Xie
+ PDF Chat	Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation	2024	Amartya Sanyal Yaxi Hu Yaodong Yu Yi-An Ma Zhaoran Wang Bernhard Schölkopf
+ PDF Chat	A Global Geometric Analysis of Maximal Coding Rate Reduction	2024	Peng Wang Huikang Liu Druv Pai Yaodong Yu Zhihui Zhu Qing Qu Yi Ma
+ PDF Chat	Scaling White-Box Transformers for Vision	2024	Jinrui Yang Xianhang Li Druv Pai Yuyin Zhou Yi Ma Yaodong Yu Cihang Xie
+ PDF Chat	Masked Completion via Structured Diffusion with White-Box Transformers	2024	Druv Pai Ziyang Wu Sam Buchanan Yaodong Yu Yi Ma
+ PDF Chat	Differentially Private Representation Learning via Image Captioning	2024	Tom Sander Yaodong Yu Maziar Sanjabi Alain Durmus Yi Ma Kamalika Chaudhuri Chuan Guo
+ PDF Chat	A Study on the Calibration of In-context Learning	2024	Hanlin Zhang Yifan Zhang Yaodong Yu Dhruv Madeka Dean P. Foster Eric P. Xing Himabindu Lakkaraju Sham M. Kakade
+	Federated Conformal Predictors for Distributed Uncertainty Quantification	2023	Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar
+	White-Box Transformers via Sparse Rate Reduction	2023	Yaodong Yu Sam Buchanan Druv Pai Tianzhe Chu Ziyang Wu Shengbang Tong Benjamin D. Haeffele Yi Ma
+	ViP: A Differentially Private Foundation Model for Computer Vision	2023	Yaodong Yu Maziar Sanjabi Yi Ma Kamalika Chaudhuri Chuan Guo
+	Scaff-PD: Communication Efficient Fair and Robust Federated Learning	2023	Yaodong Yu Sai Praneeth Karimireddy Yi Ma Michael I. Jordan
+	Emergence of Segmentation with Minimalistic White-Box Transformers	2023	Yaodong Yu Tianzhe Chu Shengbang Tong Ziyang Wu Druv Pai Sam Buchanan Yi Ma
+	White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?	2023	Yaodong Yu Sam Buchanan Druv Pai Tianzhe Chu Ziyang Wu Shengbang Tong Hao Bai Yuexiang Zhai Benjamin D. Haeffele Yi Ma
+	A Study on the Calibration of In-context Learning	2023	Hanlin Zhang Yifan Zhang Yaodong Yu Dhruv Madeka Dean P. Foster Eric P. Xing Hima Lakkaraju Sham M. Kakade
+	Predicting Out-of-Distribution Error with the Projection Norm	2022	Yaodong Yu Zitong Yang Alexander Wei Yi Ma Jacob Steinhardt
+	What You See is What You Get: Principled Deep Learning via Distributional Generalization	2022	Bogdan Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran
+	Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback	2022	Tianyi Lin Aldo Pacchiano Yaodong Yu Michael I. Jordan
+	Conditional Supervised Contrastive Learning for Fair Text Classification	2022	Jianfeng Chi W. A. Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian
+	TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels	2022	Yaodong Yu Alexander Wei Sai Praneeth Karimireddy Yi Ma Michael I. Jordan
+	Robust Calibration with Multi-domain Temperature Scaling	2022	Yaodong Yu Stephen Bates Yi Ma Michael I. Jordan
+	Conditional Supervised Contrastive Learning for Fair Text Classification	2022	Jianfeng Chi W. A. Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian
+ PDF Chat	The Effect of Model Size on Worst-Group Generalization	2021	Alan Pham Eunice Chan Vikranth Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt
+	On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging	2021	Chris Junchi Li Yaodong Yu Nicolas Loizou Gauthier Gidel Yi Ma Nicolas Le Roux Michael I. Jordan
+	The Effect of Model Size on Worst-Group Generalization	2021	Alan Pham Eunice Chan Vikranth Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt
+ PDF Chat	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction	2020	Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi Ma
+	Deep Networks from the Principle of Rate Reduction	2020	Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John C. Wright Yi Ma

Common Coauthors

Coauthor	Papers Together
Michael I. Jordan	6
Yi Ma	6
Druv Pai	6
Ziyang Wu	5
Yi Ma	5
Sam Buchanan	4
Benjamin D. Haeffele	3
Tianzhe Chu	3
Cihang Xie	3
Jacob Steinhardt	3
Shengbang Tong	3
Sai Praneeth Karimireddy	3
W. A. Shand	2
Eric P. Xing	2
Kamalika Chaudhuri	2
Alexander Wei	2
Yaoqing Yang	2
Hanlin Zhang	2
Feng Wang	2
Kwan Ho Ryan Chan	2
Ruiqi Zhong	2
Maziar Sanjabi	2
Sucheng Ren	2
Dhruv Madeka	2
Yuyin Zhou	2
Dhruba Ghosh	2
Yuan Tian	2
Vikranth Srivatsa	2
Joseph E. Gonzalez	2
Alan Yuille	2
Kai-Wei Chang	2
Alan Pham	2
Han Zhao	2
Eunice Chan	2
Chuan Guo	2
Sham M. Kakade	2
Chong You	2
Jianfeng Chi	2
Dean P. Foster	2
Yaxi Hu	1
Himabindu Lakkaraju	1
Stephen Bates	1
Chris Junchi Li	1
Weida Wang	1
John C. Wright	1
Zhihui Zhu	1
Nataniel Ruiz	1
Gauthier Gidel	1
Aldo Pacchiano	1
Bogdan Kulynych	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+ PDF Chat	Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization	2010	XuanLong Nguyen Martin J. Wainwright Michael I. Jordan	1
+	A Minimax Approach to Supervised Learning	2016	Farzan Farnia David Tse	1
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	1
+	Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness	2017	Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu	1
+	An efficient framework for learning sentence representations	2018	Lajanugen Logeswaran Honglak Lee	1
+ PDF Chat	Adversarial Removal of Demographic Attributes from Text Data	2018	Yanai Elazar Yoav Goldberg	1
+ PDF Chat	Understanding Back-Translation at Scale	2018	Sergey Edunov Myle Ott Michael Auli David Grangier	1
+ PDF Chat	Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification	2019	Daniel Borkan Lucas Dixon Jeffrey Sorensen Nithum Thain Lucy Vasserman	1
+ PDF Chat	Gender Bias in Contextualized Word Embeddings	2019	Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordóñez Kai-Wei Chang	1
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	1
+	On Variational Bounds of Mutual Information	2019	Ben Poole Sherjil Ozair Aäron van den Oord Alexander A. Alemi George Tucker	1
+ PDF Chat	Mitigating Gender Bias in Natural Language Processing: Literature Review	2019	Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai ElSherief Jieyu Zhao Diba Mirza Elizabeth Belding Kai-Wei Chang William Yang Wang	1
+	Evaluating Gender Bias in Machine Translation	2019	Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer	1
+	Learning Adversarially Fair and Transferable Representations	2018	David Madras Elliot Creager Toniann Pitassi Richard S. Zemel	1
+ PDF Chat	On Measuring Social Biases in Sentence Encoders	2019	Chandler May Alex Wang Shikha Bordia Samuel R. Bowman Rachel Rudinger	1
+	Gender Bias in Coreference Resolution	2018	Rachel Rudinger Jason Naradowsky Brian Leonard Benjamin Van Durme	1
+	Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations	2018	Sosuke Kobayashi	1
+ PDF Chat	Identifying and Reducing Gender Bias in Word-Level Language Models	2019	Shikha Bordia Samuel R. Bowman	1
+	EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks	2019	Jason Wei Kai Zou	1
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	1
+	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance	2020	Pengyu Cheng Martin Renqiang Min Dinghan Shen Christopher Malon Yizhe Zhang Yitong Li Lawrence Carin	1
+	Toward Gender-Inclusive Coreference Resolution	2020	Yang Cao Hal Daumé	1
+	Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection	2020	Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg	1
+	Social Biases in NLP Models as Barriers for Persons with Disabilities	2020	Ben Hutchinson Vinodkumar Prabhakaran Emily Denton Kellie Webster Yu Zhong Stephen Denuyl	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+	Language (Technology) is Power: A Critical Survey of “Bias” in NLP	2020	Su Lin Blodgett Solon Barocas Hal Daumé Hanna Wallach	1
+	Measuring and Reducing Gendered Correlations in Pre-trained Models	2020	Kellie Webster Xuezhi Wang Ian Tenney Alex Beutel Emily Pitler Ellie Pavlick Jilin Chen Slav Petrov	1
+	WILDS: A Benchmark of in-the-Wild Distribution Shifts	2020	Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard L. Phillips Irena Gao	1
+	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	2020	Tongzhou Wang Phillip Isola	1
+	FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders	2021	Pengyu Cheng Weituo Hao Siyang Yuan Shijing Si Lawrence Carin	1
+	Diverse Adversaries for Mitigating Bias in Training	2021	Xudong Han Timothy Baldwin Trevor Cohn	1
+ PDF Chat	SimCSE: Simple Contrastive Learning of Sentence Embeddings	2021	Tianyu Gao Xingcheng Yao Danqi Chen	1
+	Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations.	2021	Yao-Hung Hubert Tsai Quintín Martín Martín Han Zhao Kun Zhang Louis‐Philippe Morency Ruslan Salakhutdinov	1
+	Societal Biases in Language Generation: Progress and Challenges	2021	Emily Sheng Kai-Wei Chang Prem Natarajan Nanyun Peng	1
+	A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations	2021	Pierre Colombo Pablo Piantanida Chloé Clavel	1
+	Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup	2021	Luyu Gao Yunyi Zhang Jiawei Han Jamie Callan	1
+	Your fairness may vary: Group fairness of pretrained language models in toxic text classification.	2021	Ioana Baldini Dennis Wei Karthikeyan Natesan Ramamurthy Mikhail Yurochkin Moninder Singh	1
+ PDF Chat	Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies	2021	Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian Jeff M. Phillips Kai-Wei Chang	1
+	Contrastive Learning for Fair Representations	2021	Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann	1
+ PDF Chat	Parametric Contrastive Learning	2021	Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu Jiaya Jia	1
+	Conditional Contrastive Learning with Kernel	2022	Yao-Hung Hubert Tsai Tianqin Li Martin Ma Han Zhao Kun Zhang Louis‐Philippe Morency Ruslan Salakhutdinov	1
+ PDF Chat	Your fairness may vary: Pretrained language model fairness in toxic text classification	2022	Ioana Baldini Dennis Wei Karthikeyan Natesan Ramamurthy Moninder Singh Mikhail Yurochkin	1
+	Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning	2020	Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov	1
+	Supervised Contrastive Learning	2020	Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan	1
+	Conditional Learning of Fair Representations	2019	Han Zhao Amanda Coston Tameem Adel Geoffrey J. Gordon	1
+	Inherent Tradeoffs in Learning Fair Representations	2019	Han Zhao Geoffrey J. Gordon	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+ PDF Chat	Fair Contrastive Learning for Facial Attribute Classification	2022	Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang Dohyung Kim Hyeran Byun	1
+	Ethical and social risks of harm from Language Models	2021	Laura Weidinger John W. Mellor Maribeth Rauh Conor Griffin Jonathan Uesato Po-Sen Huang Myra Cheng Mia Glaese Borja Balle Atoosa Kasirzadeh	1