Philip Long 个人学术档案 - 学术资源搜索

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Peter BartlettProfessor, EECS and Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Rocco Anthony ServedioDepartment of Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Edison T LiuThe Jackson Laboratory在 jax.org 的电子邮件经过验证
Jeffrey S. VitterDistinguished Professor Emeritus of Computer & Information Science and Chancellor of the Univ. of在 OleMiss.edu 的电子邮件经过验证
Yi LiThe Jackson laboratory, Associate Director of Machine Learning & Imaging在 jax.org 的电子邮件经过验证
Niladri S. ChatterjiPostdoctoral Researcher, Department of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Manfred K. Warmuthvisiting Google Brain在 google.com 的电子邮件经过验证
Ee Chee RENSenior Principal Investigator, Singapore Immunology Network在 immunol.a-star.edu.sg 的电子邮件经过验证
Chia-Lin WeiUniversity of Washington在 jax.org 的电子邮件经过验证
Lawrence W. StantonQatar Biomedical Research Institute在 hbku.edu.qa 的电子邮件经过验证
Yijun RuanProfessor and Director, Genomic Sciences在 jax.org 的电子邮件经过验证
Shai Ben-DavidUniverity of Waterloo, Canada在 uwaterloo.ca 的电子邮件经过验证
Dzung HoangApple, Inc.在 alumni.brown.edu 的电子邮件经过验证
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di Milano在 unimi.it 的电子邮件经过验证
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of Maryland在 umd.edu 的电子邮件经过验证
Hanie SedghiSenior Research Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Peter AuerMontanuniversität Leoben在 unileoben.ac.at 的电子邮件经过验证
Lance David MillerAssociate professor of Cancer Biology, Wake Forest School of Medicine在 wakehealth.edu 的电子邮件经过验证
Gabor LugosiICREA and Universitat Pompeu Fabra在 upf.edu 的电子邮件经过验证

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Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Breast cancer classification and prognosis based on gene expression profiles from a population-based study C Sotiriou, SY Neo, LM McShane, EL Korn, PM Long, A Jazaeri, P Martiat, ... Proceedings of the National Academy of Sciences 100 (18), 10393-10398, 2003	2741	2003
Benign overfitting in linear regression PL Bartlett, PM Long, G Lugosi, A Tsigler Proceedings of the National Academy of Sciences 117 (48), 30063-30070, 2020	879	2020
Comparative full-length genome sequence analysis of 14 SARS coronavirus isolates and common mutations associated with putative origins of infection YJ Ruan, CL Wei, AE Ling, VB Vega, H Thoreau, SYS Thoe, JM Chia, ... The Lancet 361 (9371), 1779-1785, 2003	711	2003
Comment on"'Stemness': transcriptional profiling of embryonic and adult stem cells" and" a stem cell molecular signature"(I) NO Fortunel, HH Otu, HH Ng, J Chen, X Mu, T Chevassut, X Li, M Joseph, ... Science 302 (5644), 393-393, 2003	481	2003
Performance guarantees for hierarchical clustering S Dasgupta, PM Long Journal of Computer and System Sciences 70 (4), 555-569, 2005	358	2005
Random classification noise defeats all convex potential boosters PM Long, RA Servedio Proceedings of the 25th international conference on Machine learning, 608-615, 2008	355	2008
The relaxed online maximum margin algorithm Y Li, P Long Advances in neural information processing systems 12, 1999	305	1999
Reinforcement learning with immediate rewards and linear hypotheses N Abe, AW Biermann, PM Long Algorithmica 37, 263-293, 2003	264*	2003
Tracking drifting concepts by minimizing disagreements DP Helmbold, PM Long Machine learning 14, 27-45, 1994	264*	1994
Improved bounds on the sample complexity of learning Y Li, PM Long, A Srinivasan Journal of Computer and System Sciences 62 (3), 516-527, 2001	238	2001
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent N Cesa-Bianchi, PM Long, MK Warmuth IEEE Transactions on Neural Networks 7 (3), 604-619, 1996	233*	1996
Fat-shattering and the learnability of real-valued functions PL Bartlett, PM Long, RC Williamson Proceedings of the seventh annual conference on Computational learning …, 1994	221	1994
The singular values of convolutional layers H Sedghi, V Gupta, PM Long arXiv preprint arXiv:1805.10408, 2018	216	2018
On the difficulty of approximately maximizing agreements S Ben-David, N Eiron, PM Long Journal of Computer and System Sciences 66 (3), 496-514, 2003	215	2003
Optimal gene expression analysis by microarrays LD Miller, PM Long, L Wong, S Mukherjee, LM McShane, ET Liu Cancer cell 2 (5), 353-361, 2002	214	2002
The power of localization for efficiently learning linear separators with noise P Awasthi, MF Balcan, PM Long Journal of the ACM (JACM) 63 (6), 1-27, 2017	211	2017
Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling SW Nam, JY Park, A Ramasamy, S Shevade, A Islam, PM Long, CK Park, ... Hepatology 42 (4), 809-818, 2005	204	2005
Characterizations of Learnability for Classes of {0,..., n}-Valued Functions S Bendavid, N Cesabianchi, D Haussler, PM Long Journal of Computer and System Sciences 50 (1), 74-86, 1995	187	1995
Active and passive learning of linear separators under log-concave distributions MF Balcan, P Long Conference on Learning Theory, 288-316, 2013	172	2013
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks P Bartlett, D Helmbold, P Long International conference on machine learning, 521-530, 2018	147	2018

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