Philip Long

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Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Edison T LiuProfessor, The Jackson LaboratoryVerified email at jax.org
Jeffrey S. VitterDistinguished Professor Emeritus of Computer & Information Science and Chancellor of the Univ. ofVerified email at OleMiss.edu
Yi LiThe Jackson laboratory, Associate Director of Machine Learning & ImagingVerified email at jax.org
Manfred K. Warmuthvisiting Google BrainVerified email at google.com
Chia-Lin WeiThe Jackson LaboratoryVerified email at jax.org
Yijun RuanProfessor and Director, Genomic SciencesVerified email at jax.org
Hanie SedghiSenior Research Scientist, Google BrainVerified email at google.com
Sanjoy DasguptaProfessor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of MarylandVerified email at umd.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Niladri S. ChatterjiPostdoctoral Researcher, Department of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Ee Chee RENSenior Principal Investigator, Singapore Immunology NetworkVerified email at immunol.a-star.edu.sg
Lawrence W. StantonQatar Biomedical Research InstituteVerified email at hbku.edu.qa
Dzung HoangApple, Inc.Verified email at alumni.brown.edu
Peter AuerMontanuniversität LeobenVerified email at unileoben.ac.at
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Lance David MillerAssociate professor of Cancer Biology, Wake Forest School of MedicineVerified email at wakehealth.edu
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu

Philip Long

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Machine Learning


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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	2569	2003
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	696	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	457	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	401	2020
Random classification noise defeats all convex potential boosters PM Long, RA Servedio Machine learning 78 (3), 287-304, 2010	322	2010
Performance guarantees for hierarchical clustering S Dasgupta, PM Long Journal of Computer and System Sciences 70 (4), 555-569, 2005	315	2005
The relaxed online maximum margin algorithm Y Li, P Long Advances in neural information processing systems 12, 1999	290	1999
Tracking drifting concepts by minimizing disagreements DP Helmbold, PM Long Machine learning 14 (1), 27-45, 1994	249*	1994
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	211*	1996
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	206	2002
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
Fat-shattering and the learnability of real-valued functions PL Bartlett, PM Long, RC Williamson journal of computer and system sciences 52 (3), 434-452, 1996	200	1996
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	192	2001
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	187	2003
Reinforcement learning with immediate rewards and linear hypotheses N Abe, AW Biermann, PM Long Algorithmica 37 (4), 263-293, 2003	185*	2003
The power of localization for efficiently learning linear separators with noise P Awasthi, MF Balcan, PM Long Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014	170	2014
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	150	1995
The singular values of convolutional layers H Sedghi, V Gupta, PM Long arXiv preprint arXiv:1805.10408, 2018	149	2018
Active and passive learning of linear separators under log-concave distributions MF Balcan, P Long Conference on Learning Theory, 288-316, 2013	142	2013
Adaptive disk spindown via optimal rent-to-buy in probabilistic environments P Krishnan, P Long, J Vitter Proceedings of the 12th International Conference on Machine Learning, 322-330, 1995	142*	1995

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