23 Results

Poster	Tue 9:00	Learning (Very) Simple Generative Models Is Hard Sitan Chen · Jerry Li · Yuanzhi Li
Poster	Wed 9:00	Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Workshop		Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
Poster	Tue 14:00	Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev · Samuel Hopkins
Poster	Tue 14:00	On Computing Probabilistic Explanations for Decision Trees Marcelo Arenas · Pablo Barceló · Miguel Romero Orth · Bernardo Subercaseaux
Poster	Thu 9:00	Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
Poster	Wed 14:00	On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow · Kaiyi Ji · Yingbin Liang
Workshop		There Are Fewer Facts Than Words: Communication With A Growing Complexity Lukasz Debowski
Workshop	Fri 7:40	Gestalt grouping cues for understanding complex scenes: evidence from psychophysics, neuroscience, and computer vision Dirk Bernhardt-Walther
Workshop		Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding · Tahseen Rabbani · Bang An · Evan Wang · Furong Huang
Poster	Wed 9:00	Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang
Poster	Thu 14:00	Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding · Tahseen Rabbani · Bang An · Evan Wang · Furong Huang