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Poster
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Thu 9:00
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Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li · Alessandro Rinaldo · Daren Wang
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Poster
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Thu 9:00
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Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
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Poster
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Thu 14:00
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DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari
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Poster
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High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath
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Poster
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Wed 9:00
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Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
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Poster
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Wed 9:00
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Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger
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Poster
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Thu 9:00
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A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen · Bertrand Thirion · Sylvain Arlot
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Poster
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Wed 9:00
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Jump Self-attention: Capturing High-order Statistics in Transformers
Haoyi Zhou · Siyang Xiao · Shanghang Zhang · Jieqi Peng · Shuai Zhang · Jianxin Li
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Poster
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Tue 14:00
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Multi-layer State Evolution Under Random Convolutional Design
Max Daniels · Cedric Gerbelot · Florent Krzakala · Lenka Zdeborová
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Poster
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Wed 14:00
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Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
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Poster
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Tue 14:00
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List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Ankit Pensia · Thanasis Pittas
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Poster
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Tue 14:00
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Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
Kristian Georgiev · Samuel Hopkins
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