Benign overfitting in linear regression von Bartlett, Peter L., Long, Philip M., Lugosi, Gábor, Tsigler, Alexander

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Random classification noise defeats all convex potential boosters von Long, Philip M., Servedio, Rocco A.

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Breast Cancer Classification and Prognosis Based on Gene Expression Profiles from a Population-Based Study von Sotiriou, Christos, Neo, Soek-Ying, McShane, Lisa M., Korn, Edward L., Long, Philip M., Jazaeri, Amir, Martiat, Philippe, Fox, Steve B., Harris, Adrian L., Liu, Edison T.

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The Power of Localization for Efficiently Learning Linear Separators with Noise von Awasthi, Pranjal, Balcan, Maria Florina, Long, Philip M

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Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks von Bartlett, Peter L., Helmbold, David P., Long, Philip M.

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On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network von Long, Philip M., Sedghi, Hanie

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The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex Loss von Long, Philip M., Servedio, Rocco A.

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Identification of discriminators of hepatoma by gene expression profiling using a minimal dataset approach von Neo, Soek Ying, Leow, Chon Kar, Vega, Vinsensius B., Long, Philip M., Islam, Amirul F.M., Lai, Paul B.S., Liu, Edison T., Ren, Ee Chee

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Performance guarantees for hierarchical clustering von Dasgupta, Sanjoy, Long, Philip M.

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Mutational dynamics of the SARS coronavirus in cell culture and human populations isolated in 2003 von Vega, Vinsensius B, Ruan, Yijun, Liu, Jianjun, Lee, Wah Heng, Wei, Chia Lin, Se-Thoe, Su Yun, Tang, Kin Fai, Zhang, Tao, Kolatkar, Prasanna R, Ooi, Eng Eong, Ling, Ai Ee, Stanton, Lawrence W, Long, Philip M, Liu, Edison T

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Comparative full-length genome sequence analysis of 14 SARS coronavirus isolates and common mutations associated with putative origins of infection von Ruan, Yijun, Wei, Chia Lin, Ling, Ai Ee, Vega, Vinsensius B, Thoreau, Herve, Se Thoe, Su Yun, Chia, Jer-Ming, Ng, Patrick, Chiu, Kuo Ping, Lim, Landri, Zhang, Tao, Chan, Kwai Peng, Lin Ean, Lynette Oon, Ng, Mah Lee, Leo, Sin Yee, Ng, Lisa FP, Ren, Ee Chee, Stanton, Lawrence W, Long, Philip M, Liu, Edison T

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The Relaxed Online Maximum Margin Algorithm von Li, Yi, Long, Philip M

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Comment on " 'Stemness': transcriptional profiling of embryonic and adult stem cells" and "a stem cell molecular signature" von Fortunel, Nicolas O, Otu, Hasan H, Ng, Huck-Hui, Chen, Jinhui, Mu, Xiuqian, Chevassut, Timothy, Li, Xiaoyu, Joseph, Marie, Bailey, Charles, Hatzfeld, Jacques A, Hatzfeld, Antoinette, Usta, Fatih, Vega, Vinsensius B, Long, Philip M, Libermann, Towia A, Lim, Bing

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New bounds on the price of bandit feedback for mistake-bounded online multiclass learning von Long, Philip M.

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Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling von SUK WOO NAM, JIK YOUNG PARK, WON SANG PARK, NAM JIN YOO, LIU, Edison T, MILLER, Lance D, JUNG YOUNG LEE, RAMASAMY, Adaikalavan, SHEVADE, Shirish, ISLAM, Amirul, LONG, Philip M, CHEOL KEUN PARK, SOO EUN PARK, SU YOUNG KIM, SUG HYUNG LEE

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Linear classifiers are nearly optimal when hidden variables have diverse effects von Bshouty, Nader H., Long, Philip M.

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Optimal gene expression analysis by microarrays von Miller, Lance D., Long, Philip M., Wong, Limsoon, Mukherjee, Sayan, McShane, Lisa M., Liu, Edison T.

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Online Multitask Learning von Dekel, Ofer, Long, Philip M., Singer, Yoram

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On the Weight of Halfspaces over Hamming Balls von Long, Philip M, Servedio, Rocco A

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Superlinear Integrality Gaps for the Minimum Majority Problem von Long, Philip M.

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