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Poster
Wed 9:00 Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao · Qihang Lin · Tianbao Yang
Poster
Wed 14:00 Non-Convex Bilevel Games with Critical Point Selection Maps
Michael Arbel · Julien Mairal
Poster
Wed 9:00 Improved Imaging by Invex Regularizers with Global Optima Guarantees
Samuel Pinilla · Tingting Mu · Neil Bourne · Jeyan Thiyagalingam
Poster
Tue 14:00 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang
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
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
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