Adrien B. Taylor

50 papers A* 9A 1Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Step-Size Stability in Stochastic Optimization: A Theoretical Perspective. CoRR Fabian Schaipp, Robert M. Gower, Adrien B. Taylor
2025	J	`jnl`	Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms. CoRR Roland Andrews, Justin Carpentier, Adrien B. Taylor
2025	J	`jnl`	Automated tight Lyapunov analysis for first-order methods. Math. Program. Manu Upadhyaya, Sebastian Banert, Adrien B. Taylor, Pontus Giselsson
2025	J	`jnl`	Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO. J. Mach. Learn. Res. Céline Moucer, Adrien B. Taylor, Francis Bach
2025	A*	`conf`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. ICML Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis Bach
2025	J	`jnl`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. CoRR Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis R. Bach
2025	J	`jnl`	Tight analyses of first-order methods with error feedback. CoRR Daniel Berg Thomsen, Adrien B. Taylor, Aymeric Dieuleveut
2024	A*	`conf`	Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning. ICLR Antoine Bambade, Fabian Schramm, Adrien B. Taylor, Justin Carpentier
2024	J	`jnl`	PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Math. Program. Comput. Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut
2024	J	`jnl`	Short Paper - Quadratic minimization: from conjugate gradient to an adaptive Polyak's momentum method with Polyak step-sizes. Open J. Math. Optim. Baptiste Goujaud, Adrien B. Taylor, Aymeric Dieuleveut
2023	J	`jnl`	A Systematic Approach to Lyapunov Analyses of Continuous-Time Models in Convex Optimization. SIAM J. Optim. Céline Moucer, Adrien B. Taylor, Francis R. Bach
2023	J	`jnl`	An optimal gradient method for smooth strongly convex minimization. Math. Program. Adrien B. Taylor, Yoel Drori
2023	A*	`conf`	Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity. ICML Eduard Gorbunov, Adrien B. Taylor, Samuel Horváth, Gauthier Gidel
2023	J	`jnl`	Counter-Examples in First-Order Optimization: A Constructive Approach. IEEE Control. Syst. Lett. Baptiste Goujaud, Aymeric Dieuleveut, Adrien B. Taylor
2023	—	`conf`	On Fundamental Proof Structures in First-Order Optimization. CDC Baptiste Goujaud, Aymeric Dieuleveut, Adrien B. Taylor
2023	J	`jnl`	Principled analyses and design of first-order methods with inexact proximal operators. Math. Program. Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2022	J	`jnl`	A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives. Open J. Math. Optim. Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2022	J	`jnl`	A systematic approach to Lyapunov analyses of continuous-time models in convex optimization. CoRR Céline Moucer, Adrien B. Taylor, Francis R. Bach
2022	J	`jnl`	Convergence of a Constrained Vector Extrapolation Scheme. SIAM J. Math. Data Sci. Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont
2022	A*	`conf`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. NeurIPS Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	J	`jnl`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. CoRR Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	A*	`conf`	Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities. NeurIPS Eduard Gorbunov, Adrien B. Taylor, Gauthier Gidel
2022	J	`jnl`	On the oracle complexity of smooth strongly convex minimization. J. Complex. Yoel Drori, Adrien B. Taylor
2022	J	`jnl`	Optimal complexity and certification of Bregman first-order methods. Math. Program. Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte
2022	J	`jnl`	PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. CoRR Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut
2022	—	`conf`	PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond. Robotics: Science and Systems Antoine Bambade, Sarah El Kazdadi, Adrien B. Taylor, Justin Carpentier
2022	A	`conf`	Super-Acceleration with Cyclical Step-sizes. AISTATS Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa
2021	J	`jnl`	A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	A Continuized View on Nesterov Acceleration. CoRR Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien B. Taylor
2021	J	`jnl`	Acceleration Methods. CoRR Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor
2021	J	`jnl`	Acceleration Methods. Found. Trends Optim. Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor
2021	J	`jnl`	An optimal gradient method for smooth (possibly strongly) convex minimization. CoRR Adrien B. Taylor, Yoel Drori
2021	A*	`conf`	Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
2020	A*	`conf`	Complexity Guarantees for Polyak Steps with Momentum. COLT Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont
2020	J	`jnl`	Complexity Guarantees for Polyak Steps with Momentum. CoRR Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont
2020	J	`jnl`	Convergence of Constrained Anderson Acceleration. CoRR Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont
2020	J	`jnl`	Efficient first-order methods for convex minimization: a constructive approach. Math. Program. Yoel Drori, Adrien B. Taylor
2020	J	`jnl`	Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. SIAM J. Optim. Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling, Pontus Giselsson
2020	J	`jnl`	Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators. CoRR Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2020	J	`jnl`	Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. SIAM J. Optim. Etienne de Klerk, François Glineur, Adrien B. Taylor
2019	J	`jnl`	Optimal Complexity and Certification of Bregman First-Order Methods. CoRR Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte
2019	A*	`conf`	Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. COLT Adrien B. Taylor, Francis R. Bach
2019	J	`jnl`	Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. CoRR Adrien B. Taylor, Francis R. Bach
2018	J	`jnl`	Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization. J. Optim. Theory Appl. Adrien B. Taylor, Julien M. Hendrickx, François Glineur
2018	A*	`conf`	Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees. ICML Adrien B. Taylor, Bryan Van Scoy, Laurent Lessard
2017	—	`—`	Convex interpolation and performance estimation of first-order methods for convex optimization. Adrien B. Taylor
2017	J	`jnl`	Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization. SIAM J. Optim. Adrien B. Taylor, Julien M. Hendrickx, François Glineur
2017	J	`jnl`	On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. Optim. Lett. Etienne de Klerk, François Glineur, Adrien B. Taylor
2017	—	`conf`	Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods. CDC Adrien B. Taylor, Julien M. Hendrickx, François Glineur
2017	J	`jnl`	Smooth strongly convex interpolation and exact worst-case performance of first-order methods. Math. Program. Adrien B. Taylor, Julien M. Hendrickx, François Glineur