101 Results

Poster	Wed 9:00	Large-scale Optimization of Partial AUC in a Range of False Positive Rates Yao Yao · Qihang Lin · Tianbao Yang
Poster	Tue 14:00	Online PAC-Bayes Learning Maxime Haddouche · Benjamin Guedj
Poster	Wed 14:00	Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas
Poster	Thu 14:00	DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello · Bryon Aragam · Pradeep Ravikumar
Poster	Thu 14:00	A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau
Poster	Thu 9:00	CCCP is Frank-Wolfe in disguise Alp Yurtsever · Suvrit Sra
Poster	Tue 14:00	On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias Itay Safran · Gal Vardi · Jason Lee
Poster	Wed 9:00	Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
Poster	Tue 9:00	From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
Poster	Thu 9:00	Momentum Aggregation for Private Non-convex ERM Hoang Tran · Ashok Cutkosky
Poster	Thu 9:00	Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients Hualin Zhang · Huan Xiong · Bin Gu
Poster	Wed 14:00	Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions Shinsaku Sakaue · Taihei Oki