L.2: Classification |
Session Type: Lecture |
Track: Statistics and Learning Theory |
Virtual Session: View on Virtual Platform |
Session Chair: Lalitha Sankar, Arizona State University
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L.2.1: Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code
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Shota Saito; Waseda University |
Toshiyasu Matsushima; Waseda University |
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L.2.2: Optimality of Least-squares for Classification in Gaussian-Mixture Models
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Hossein Taheri; University of California, Santa Barbara |
Ramtin Pedarsani; University of California, Santa Barbara |
Christos Thrampoulidis; University of California, Santa Barbara |
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L.2.3: A Fair Classifier Using Mutual Information
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Jaewoong Cho; KAIST |
Gyeongjo Hwang; KAIST |
Changho Suh; KAIST |
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L.2.4: Analytic Study of Double Descent in Binary Classification: The Impact of Loss
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Ganesh Ramachandra Kini; University of California, Santa Barbara |
Christos Thrampoulidis; University of California, Santa Barbara |
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L.2.5: On Binary Statistical Classification from Mismatched Empirically Observed Statistics
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Hung-Wei Hsu; National Taiwan University, Taipei, Taiwan |
I-Hsiang Wang; National Taiwan University, Taipei, Taiwan |
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