Technical Program

Session Detail

Session Title TH4.R1: Learning and Regression
Session Time Thursday, 11 July, 16:40 - 18:00
Location Le Théatre (Parterre), Level -1
Session ChairMeir Feder, Tel Aviv University

TH4.R1.1: Universal Learning of Individual Data
 Click here to download the manuscript
         Yaniv Fogel; Tel Aviv University
         Meir Feder; Tel Aviv University

TH4.R1.2: Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning
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         Mohsen Ghassemi; Rutgers, The State University of New Jersey
         Zahra Shakeri; Rutgers, The State University of New Jersey
         Waheed U. Bajwa; Rutgers, The State University of New Jersey
         Anand D. Sarwate; Rutgers, The State University of New Jersey

TH4.R1.3: Harmless interpolation of noisy data in regression
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         Vidya Muthukumar; University of California, Berkeley
         Kailas Vodrahalli; University of California, Berkeley
         Anant Sahai; University of California, Berkeley

TH4.R1.4: A New Look at an Old Problem: A Universal Learning Approach to Linear Regression
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         Koby Bibas; Tel Aviv University
         Yaniv Fogel; Tel Aviv University
         Meir Feder; Tel Aviv University