Poster

Thu 9:00

Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li · Alessandro Rinaldo · Daren Wang

Poster

Thu 9:00

Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari

Poster

Thu 14:00

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari

Poster

High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath

Poster

Wed 9:00

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová

Poster

Wed 9:00

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger

Poster

Thu 9:00

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen · Bertrand Thirion · Sylvain Arlot

Poster

Wed 9:00

Jump Self-attention: Capturing High-order Statistics in Transformers
Haoyi Zhou · Siyang Xiao · Shanghang Zhang · Jieqi Peng · Shuai Zhang · Jianxin Li

Poster

Tue 14:00

Multi-layer State Evolution Under Random Convolutional Design
Max Daniels · Cedric Gerbelot · Florent Krzakala · Lenka Zdeborová

Poster

Wed 14:00

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová

Poster

Tue 14:00

List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Ankit Pensia · Thanasis Pittas

Poster

Tue 14:00

Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
Kristian Georgiev · Samuel Hopkins