Yang Yuan - AI Profile

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Assistant Professor

清华大学交叉信息研究院

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Bio

I work on machine learning theory and algorithm design.
I was very fortunate to have Professor Robert Kleinberg as my advisor. After my PhD, I spent one year as a postdoctoral associate at MIT Institute for Foundations of Data Science (MIFODS), advised by Professor Piotr Indyk and Professor Aleksander Mądry. I did my undergraduate at Peking University, and I was born in Chang Zhou.

Research Interests

Papers42 papers

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T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP

Jiaye Teng,Zeren Tan,Yang Yuan

ICML, pp.10203-10213, (2021)

EIBibtex

Inject Machine Learning into Significance Test for Misspecified Linear Models

Teng Jiaye,Yuan Yang

Bibtex

Adversarial Data Encryption

Hu Yingdong, Zhang Liang, Shan Wei, Qin Xiaoxiao, Qi Jin, Wu Zhenzhou,Yuan Yang

Bibtex

Optimal Auctions vs. Anonymous Pricing: Beyond Linear Utility

Yiding Feng,Jason D. Hartline,Yingkai Li

Proceedings of the 2019 ACM Conference on Economics and Computation, (2019): 885-886

Cited by1EIBibtex

Optimal auctions vs. anonymous pricing

Saeed Alaei,Jason Hartline,Rad Niazadeh,Emmanouil Pountourakis,Yang Yuan

Games and Economic Behavior, (2019): 494-510

Bibtex

Learning-Based Low-Rank Approximations

Piotr Indyk,Ali Vakilian,Yang Yuan

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)

Cited by14Bibtex

Asymmetric Valleys: Beyond Sharp and Flat Local Minima

Haowei He,Gao Huang,Yang Yuan

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 2549-2560

Cited by29EIBibtex

Learning-Based Low-Rank Approximations

Piotr Indyk,Ali Vakilian,Yang Yuan

NeurIPS, pp.7400-7410, (2019)

Cited by4EIBibtex

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

Guang-He Lee,Yang Yuan,Shiyu Chang,Tommi Jaakkola

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 4911-4922

Cited by20EIBibtex

Learning-Based Low-Rank Approximations

Piotr Indyk,Yang Yuan, Ali Vakilian

NeurIPS, (2019)

Bibtex

A Stratified Approach to Robustness for Randomly Smoothed Classifiers

Guang-He Lee,Yang Yuan,Shiyu Chang,Tommi S. Jaakkola

Neural Information Processing Systems, (2019)

EIBibtex

YATES: Rapid Prototyping for Traffic Engineering Systems

Praveen Kumar, Chris Yu,Yang Yuan,Nate Foster,Robert Kleinberg,Robert Soulé

SOSR '18: Symposium on SDN Research Los Angeles CA USA March, 2018, pp.1-7, (2018)

Cited by12EIBibtex

An Alternative View: When Does SGD Escape Local Minima

Robert Kleinberg,Yuanzhi Li,Yang Yuan

ICML, (2018): 2698-2707

Cited by133EIBibtex

Semi-Oblivious Traffic Engineering with SMORE

Praveen Kumar,Yang Yuan, Chris Yu,Nate Foster,Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé

ANRW, pp.21, (2018)

EIBibtex

An empirical study on evaluation metrics of generative adversarial networks

Qiantong Xu,Gao Huang,Yang Yuan,Chuan Guo, Yu Sun,Felix Wu,Kilian Q. Weinberger

arXiv: Learning, (2018)

Cited by120EIBibtex

YATES: Rapid Prototyping for Traffic Engineering Systems

Praveen Kumar, Chris Yu,Yang Yuan,Nate Foster,Robert Kleinberg, Robert Soulé

SOSR, pp.11:1-11:7, (2018)

Cited by1EIBibtex

Semi-Oblivious Traffic Engineering: The Road Not Taken

Praveen Kumar,Yang Yuan, Chris Yu,Nate Foster,Robert Kleinberg, Petr Lapukhov, Chiunlin Lim,Robert Soulé

NSDI, pp.157-170, (2018)

Cited by45EIBibtex

Hyperparameter Optimization: A Spectral Approach

Elad Hazan,Adam R. Klivans,Yang Yuan

international conference on learning representations, (2018)

Cited by47EIBibtex

Expanding Holographic Embeddings for Knowledge Completion

Yexiang Xue,Yang Yuan, Zhitian Xu,Ashish Sabharwal

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 4496-4506

Cited by6EIBibtex

Convergence Analysis of Two-layer Neural Networks with ReLU Activation

Yuanzhi Li,Yang Yuan

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 597-607

Cited by265EIBibtex

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