Tengyu ma dblp
WebTengyu Ma Stanford University Names Tengyu Ma (Preferred) Emails ****@cs.princeton.edu , ****@cs.stanford.edu , ****@stanford.edu , ****@stanford.edu Personal Links Homepage Google Scholar DBLP Education & Career History Stanford University Stanford University (stanford.edu) 2024 – Present Visiting Scientist Facebook … WebJan 4, 2024 · Garrett Thomas, Yuping Luo, Tengyu Ma: Safe Reinforcement Learning by Imagining the Near Future. NeurIPS 2024: 13859-13869 [c10] Yuping Luo, Tengyu Ma: Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. NeurIPS 2024: 25621-25632 [i10]
Tengyu ma dblp
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WebTengyu Ma 0001 Stanford University, CA, USA Tengyu Ma 0002 Harbin Institute of Technology, Harbin, China Tengyu Ma 0003 Vanderbilt University, TN, USA Tengyu Ma 0004 Dalian University of Technology, School of Software Technology, China All 5 matches Tengyu Ma 0001 Stanford University, CA, USA Tengyu Ma 0002 WebThe dblp computer science bibliography is the online reference for open bibliographic information on major computer science journals and proceedings. ... Tengyu Ma 0001 …
WebNIPS 2016 (Rong Ge, Jason Lee, Tengyu Ma) (Best Student Paper) Polynomial-time Tensor Decompositions with Sum-of-squares. FOCS 2016 (Tengyu Ma, Jonathan Shi, David Steurer) Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality. WebTengyu Ma Stanford University [email protected] Abstract Deep learning algorithms can fare poorly when the training dataset suffers from heavy class-imbalance but the testing criterion requires good generalization on less frequent classes. We design two novel methods to improve performance in such scenarios.
WebTengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu: PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. ACM Multimedia 2024: 2070-2078 [i2] Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo: Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CoRR abs/2204.10137 ( … WebMy broad interests: Current projects (as of 2024): spin glass methods for average-case constraint-satisfaction problems (CSPs), certifying far-from-satisfiability for average-case CSPs, explicit unweighted sparsifiers of edge-transitive graphs, proper scoring/aggregation algorithms for expert predictions weighted by specializations, etiology of ...
WebFeb 1, 2024 · I am an associate professor of Electrical and Computer Engineering and Computer Science (secondary) in Princeton University and a member of the Theoretical Machine Learning Group. Previously, I was a member of the IAS and an assistant professor at USC for three years.
http://export.arxiv.org/abs/2204.10137 boshan hotel goaWebAssociate Professor of Computer Scienceand Statistics (courtesy)Human-Centered Artificial Intelligence (HAI)Artificial Intelligence LabNatural Language Processing GroupMachine Learning GroupCenter for Research on Foundation Models (CRFM), director Gates 350 / [email protected] [Publications] [CodaLab] [sfig] hawaii state income tax employerWebMar 7, 2024 · Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang: In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. CoRR abs/2012.04550 (2024) [i5] view. electronic edition @ arxiv.org (open access) ... the dblp computer science bibliography is funded and … boshantiWebApr 21, 2024 · Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo (Submitted on 21 Apr 2024) Abstract:Existing low-light image enhancement techniques are mostly not only … boshan lomb lensWebTengyu Ma Dalian University of Technology. Names. How do you usually write your name as author of a paper? Also add any other names you have authored papers under. … boshan hotels goaWebTengyu Ma is currently a fourth year graduate student at Princeton University, advised by Professor Sanjeev Arora. He received the Simons Award for Graduate Students in … boshanlu incense burnerWebSep 16, 2016 · Moritz Hardt, Tengyu Ma, Benjamin Recht We prove that stochastic gradient descent efficiently converges to the global optimizer of the maximum likelihood objective of an unknown linear time-invariant dynamical system from a sequence of noisy observations generated by the system. boshanns lawn service