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Poster
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Wed 9:00
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coVariance Neural Networks
Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro
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Poster
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Thu 9:00
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DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh
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Workshop
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Explicitly Nonlinear Connectivity-Matrix Independent Component Analysis in Resting fMRI Data
Sara Motlaghian
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Poster
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Tue 9:00
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Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
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Poster
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Tue 9:00
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Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
John Duchi · Vitaly Feldman · Lunjia Hu · Kunal Talwar
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Poster
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Tue 14:00
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Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis
Aaron Potechin · Goutham Rajendran
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Poster
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FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
mengping yang · Zhe Wang · Ziqiu Chi · Yanbing Zhang
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Poster
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Tue 9:00
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Function Classes for Identifiable Nonlinear Independent Component Analysis
Simon Buchholz · Michel Besserve · Bernhard Schölkopf
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