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1
Efficient Estimation of Signals via Non-Convex Approaches.
Efficient Estimation of Signals via Non-Convex Approaches.
Xu, Sheng.Statistics and Data Science. | Yale University. | 2022
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2
The Complexity of Non-Convex and Conic Optimization Problems in Data Science Applications.
The Complexity of Non-Convex and Conic Optimization Problems in Data Science Applications.
Molybog, Igor.Industrial Engineering & Operations | University of California, Berkeley. | 2022
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3
Non-Convex Optimization Techniques for Radar Waveform Design under Practical Constraints.
Non-Convex Optimization Techniques for Radar Waveform Design under Practical Constraints.
Al Hujaili, Khaled. | The Pennsylvania State University. | 2020
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4
Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning.
Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning.
Bower, Amanda.Applied and Interdisciplinary Mathem | University of Michigan. | 2020
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5
Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications.
Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications.
Sun, Haoran.Electrical Engineering. | University of Minnesota. | 2021
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6
Topics on Nonconvex Learning.
Topics on Nonconvex Learning.
Liu, Bingyuan. | The Pennsylvania State University. | 2021
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7
When Do Gradient Methods Work Well in Non-convex Learning Problems?
When Do Gradient Methods Work Well in Non-convex Learning Problems?
Bai, Yu. | Stanford University | 2019
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8
When Can Nonconvex Optimization Problems Be Solved with Gradient Descent? A Few Case Studies
When Can Nonconvex Optimization Problems Be Solved with Gradient Descent? A Few Case Studies
Gilboa, Dar. | Columbia University | 2020
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9
Nonconvex minimization theorems and fixed point theorems in metric spaces
Nonconvex minimization theorems and fixed point theorems in metric spaces
Pathak, H.K. | 동아대학교 기초과학연구소 | 1997
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10
Understanding Adaptivity in Machine Learning Optimization: Theories and Algorithms.
Understanding Adaptivity in Machine Learning Optimization: Theories and Algorithms.
Chen, Xiangyi.Electrical Engineering. | University of Minnesota. | 2022
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