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Poster
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Thu 16:30
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Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee
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Poster
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Thu 16:30
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Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan · Chang Yao · Mingli Song · Lijun Zhang
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Poster
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Thu 11:00
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SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Tehila Dahan · Kfir Y. Levy
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Poster
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Fri 11:00
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Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris · Chris Hicks · Vasilios Mavroudis · Mark Herbster
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Poster
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Wed 16:30
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Semidefinite Relaxations of the Gromov-Wasserstein Distance
Junyu Chen · Binh T. Nguyen · Shang Koh · Yong Sheng Soh
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Workshop
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Sun 9:30
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Talk 1: *On the Inherent Privacy of Two Point Zeroth Order Projected Gradient Descent* and Talk 2: *The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization*
Devansh Gupta · Matan Schliserman
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Poster
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Thu 11:00
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Amortized Eigendecomposition for Neural Networks
Tianbo Li · Zekun Shi · Jiaxi Zhao · Min Lin
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Poster
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Thu 16:30
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Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin · Ahmed Khaled · Yuanhao Wang · Aaron Defazio · Robert Gower
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Poster
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Fri 11:00
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CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
Miria Feng · Zachary Frangella · Mert Pilanci
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Poster
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Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
zhenwei lin · Qi Deng
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Poster
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Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
Du Chen · Geoffrey A. Chua
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Poster
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Thu 16:30
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Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
Feng-Yi Liao · Lijun Ding · Yang Zheng
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