Philip Long

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Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at columbia.edu
Edison T LiuThe 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
Niladri S. ChatterjiPostdoctoral Researcher, Department of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Yi LiThe Jackson laboratory, Associate Director of Machine Learning & ImagingVerified email at jax.org
Manfred K. Warmuthvisiting Google BrainVerified email at google.com
Ee Chee RENSenior Principal Investigator, Singapore Immunology NetworkVerified email at immunol.a-star.edu.sg
Chia-Lin WeiUniversity of WashingtonVerified email at jax.org
Lawrence W. StantonQatar Biomedical Research InstituteVerified email at hbku.edu.qa
Yijun RuanProfessor and Director, Genomic SciencesVerified email at jax.org
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
Dzung HoangApple, Inc.Verified email at alumni.brown.edu
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of MarylandVerified email at umd.edu
Hanie SedghiSenior Research Scientist, Google DeepMindVerified email at google.com
Peter AuerMontanuniversität LeobenVerified email at unileoben.ac.at
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	2756	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	916	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	714	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	480	2003
Performance guarantees for hierarchical clustering S Dasgupta, PM Long Journal of Computer and System Sciences 70 (4), 555-569, 2005	360	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	358	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	269*	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	241	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	226	1994
The singular values of convolutional layers H Sedghi, V Gupta, PM Long arXiv preprint arXiv:1805.10408, 2018	219	2018
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	216	2017
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
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	188	1995
Active and passive learning of linear separators under log-concave distributions MF Balcan, P Long Conference on Learning Theory, 288-316, 2013	173	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	148	2018

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