Taylor, Adrien
- An optimal gradient method for smooth strongly convex minimization
2021/01/24 by Adrien Taylor, Yoel Drori, Taylor, Adrien +1 · 8 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Optimization Algorithms Research
- PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
2022/01/11 by Baptiste Goujaud, Goujaud, Baptiste, Céline Moucer +9 · 8 citations
Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- Complexity Guarantees for Polyak Steps with Momentum
2020/02/03 by Barré, Mathieu, Taylor, Adrien, d'Aspremont, Alexandre · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
2025/01/31 by Fabian Schaipp, Alexander Hägele, Schaipp, Fabian +7 · 2 voices · 12 citations
#cs.LG #math.OC #stat.ML
- Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators
2020/06/10 by Barré, Mathieu, Taylor, Adrien, Bach, Francis · 5 citations
#FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- On the oracle complexity of smooth strongly convex minimization
2021/01/24 by Drori, Yoel, Taylor, Adrien · 4 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Provable non-accelerations of the heavy-ball method
2023/07/21 by Goujaud, Baptiste, Taylor, Adrien, Dieuleveut, Aymeric · 4 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- On Fundamental Proof Structures in First-Order Optimization
2023/10/03 by Goujaud, Baptiste, Dieuleveut, Aymeric, Taylor, Adrien · 4 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
2018/03/16 by Taylor, Adrien, Van Scoy, Bryan, Lessard, Laurent · 2 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
2019/02/03 by Taylor, Adrien, Bach, Francis · 2 citations
#Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
2021/06/10 by Even, Mathieu, Berthier, Raphaël, Bach, Francis +5 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Probability (math.PR)
- Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
2022/05/17 by Gorbunov, Eduard, Taylor, Adrien, Gidel, Gauthier · 2 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Optimal first-order methods for convex functions with a quadratic upper bound
2022/05/30 by Goujaud, Baptiste, Taylor, Adrien, Dieuleveut, Aymeric · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC)
- Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses
2023/01/04 by Gupta, Shuvomoy Das, Freund, Robert M., Sun, Xu Andy +1 · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC)