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1
Optimization, Minimax, and Variational Inequality Problems: Algorithms and Applications
Optimization, Minimax, and Variational Inequality Problems: Algorithms and Applications
Wang, Nuozhou. | University of Minnesota | 2025
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2
Definibilitas Minimaximi : Definability of the Minimum and Maximum
Definibilitas Minimaximi : Definability of the Minimum and Maximum
Duvalier, Matthew. | University of California, Berkeley | 2025
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3
Novel First-Order Methods for Bilevel and Minimax Optimization
Novel First-Order Methods for Bilevel and Minimax Optimization
Mei, Sanyou. | University of Minnesota | 2025
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4
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Guo, Yilin.Statistics. | Columbia University. | 2023
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5
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Guo, Yilin.Statistics. | Columbia University. | 2023
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6
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Signal-to-Noise Ratio Aware Minimaxity and Its Asymptotic Expansion- [electronic resource]
Guo, Yilin.Statistics. | Columbia University. | 2023
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7
Interpretable Algorithms for Data Integration: Adaptivity, Contamination, High-Dimensionality, and Privacy Constraints
Interpretable Algorithms for Data Integration: Adaptivity, Contamination, High-Dimensionality, and Privacy Constraints
Tian, Ye. | Columbia University | 2025
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8
Bridging Demonstrations and Decisions: Theory and Algorithms for Provable Imitation Learning
Bridging Demonstrations and Decisions: Theory and Algorithms for Provable Imitation Learning
Rajaraman, Nived. | University of California, Berkeley | 2025
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9
On the Statistical Properties of Deep Learners for Intrinsically Low Dimensional Data
On the Statistical Properties of Deep Learners for Intrinsically Low Dimensional Data
Chakraborty, Saptarshi. | University of California, Berkeley | 2025
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10
Understanding Generative Models: From Theory to Applications
Understanding Generative Models: From Theory to Applications
Dou, Zehao. | Yale University | 2025
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