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Workshop
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Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
Andrew Lowy · Meisam Razaviyayn
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Poster
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Thu 14:00
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On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
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Poster
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Wed 14:00
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Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Thu 14:00
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Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
Liyu Chen · Haipeng Luo
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Poster
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Optimality and Stability in Non-Convex Smooth Games
Guojun Zhang · Pascal Poupart · Yaoliang Yu
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Poster
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Wed 9:00
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Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Workshop
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The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
Fadhel Ayed · Soufiane Hayou
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Poster
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Thu 14:00
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DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello · Bryon Aragam · Pradeep Ravikumar
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Poster
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Wed 9:00
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Improved Imaging by Invex Regularizers with Global Optima Guarantees
Samuel Pinilla · Tingting Mu · Neil Bourne · Jeyan Thiyagalingam
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Poster
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Tue 14:00
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Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang
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