Webb8 juni 2024 · It is well known that machine learning methods can be vulnerable to adversarially-chosen perturbations of their inputs. Despite significant progress in the area, foundational open problems remain. In this paper, we address several key questions. We derive exact and approximate Bayes-optimal robust classifiers for the important setting … WebbMay 5th, 2024 - Provable Nonconvex Methods Algorithms General nonconvex optimization is undoubtedly hard ? in sharp contrast to convex optimization of which there is good separation of problem structure input data and optimization algorithms ePanorama net Links May 4th, 2024 - Digital Signal Processing Page General information DSPs are …
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Webb4 okt. 2024 · Based on the AG method, we also present new nonconvex stochastic approximation methods and show that they can improve a few existing rates of convergence for nonconvex stochastic optimization. WebbDeep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa, David Bellamy, Tom Kolokotrones, james m robins, Andrew Beam; Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization Junchi YANG, Xiang Li, Niao He squalicum high school protest
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WebbJu Sun Provable Nonconvex Methods Algorithms May 5th, 2024 - Provable Nonconvex Methods Algorithms General nonconvex optimization is undoubtedly hard — in sharp … Webb4 apr. 2014 · Provable Non-convex Optimization for Machine Learning Problems. In this work, we explore theoretical properties of simple non-convex optimization methods for … Webb这个list主要包括stochastic convex and non-convex optimization, 借鉴了Allen-Zhu在ICML上的那个workshop. 另外两个是blog: 孙举的 Provable Nonconvex Methods/Algorithms , … squale heritage