|
Poster
|
Wed 14:00
|
ATD: Augmenting CP Tensor Decomposition by Self Supervision
Chaoqi Yang · Cheng Qian · Navjot Singh · Cao (Danica) Xiao · M Westover · Edgar Solomonik · Jimeng Sun
|
|
|
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
|
Tue 14:00
|
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu · Rahul Mazumder · Preetam Nandy · Kinjal Basu
|
|
|
Poster
|
Wed 9:00
|
Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
|
|
|
Poster
|
Thu 14:00
|
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello · Bryon Aragam · Pradeep Ravikumar
|
|
|
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
|
|
|
Workshop
|
|
Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
|
|
|
Poster
|
Thu 9:00
|
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan · Xinmeng Huang · Yiming Chen · Xiaohan Zhang · Yingya Zhang · Pan Pan
|
|
|
Poster
|
Thu 9:00
|
Momentum Aggregation for Private Non-convex ERM
Hoang Tran · Ashok Cutkosky
|
|
|
Poster
|
Thu 14:00
|
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai
|
|
|
Poster
|
Tue 9:00
|
Single Loop Gaussian Homotopy Method for Non-convex Optimization
Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda
|
|
|
Poster
|
Thu 9:00
|
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization
Kumar Kshitij Patel · Lingxiao Wang · Blake Woodworth · Brian Bullins · Nati Srebro
|
|
