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Contributed Papers

Statistical Learning Theory

Thu, Aug 10, 8:30 AM

Ye TianChair

Section on Statistical Learning and Data Science

6 Presentations

Influential Observations in Support Vector Machine

8:35 AM - 8:50 AM

Co-authors: Yoonkyung Lee (The Ohio State University)

Target alignment in truncated kernel ridge regression and its connections to deep learning

8:50 AM - 9:05 AM

Dai Feng (AbbVie)

Co-authors: Arash Amini (University of California, Los Angeles), Richard Baumgartner (Merck Research Laboratories)

Differentially private topological data analysis

9:05 AM - 9:20 AM

Taegyu Kang (Purdue University)

Co-authors: Sehwan Kim, Jinwon Sohn (Purdue University), Jordan Awan (Purdue University)

Time-Uniform Conformal Prediction

9:20 AM - 9:35 AM

Kayla Scharfstein

Co-authors: Arun Kumar Kuchibhotla (Carnegie Mellon University)

The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

9:35 AM - 9:50 AM

Co-authors: Andrea Montanari (Stanford University), Feng Ruan (Northwestern University), Jun Yan (D.E.Shaw)

Statistical Properties of Compression Analytics

9:50 AM - 10:05 AM

Alexander Foss (Sandia National Laboratories)

Co-authors: Kurtis Shuler, Christina Ting (Sandia National Laboratories), Travis Bauer (Sandia National Laboratories), Richard Field (Sandia National Laboratories)

Session participants

Cheryl Brooks (AT&T Data Science and AI Research)

Participant

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