Martínez-Rubio, David

11 publications

AISTATS 2025 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta

AISTATS 2025 Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization Simon Vary, David Martínez-Rubio, Patrick Rebeschini

NeurIPS 2025 On the Necessity of Adaptive Regularisation: Optimal Anytime Online Learning on $\boldsymbol{\ell_p}$-Balls Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke, Patrick Rebeschini

NeurIPSW 2023 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta

COLT 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties David Martínez-Rubio, Sebastian Pokutta

COLT 2023 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond David Martínez-Rubio, Elias Wirth, Sebastian Pokutta

COLT 2023 Open Problem: Polynomial Linearly-Convergent Method for G-Convex Optimization? Christopher Criscitiello, David Martínez-Rubio, Nicolas Boumal

NeurIPSW 2022 Accelerated Riemannian Optimization: Handling Constraints to Bound Geometric Penalties David Martínez-Rubio, Sebastian Pokutta

NeurIPS 2022 Fast Algorithms for Packing Proportional Fairness and Its Dual Francisco Criado, David Martinez-Rubio, Sebastian Pokutta

ALT 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces David Martínez-Rubio

NeurIPS 2019 Decentralized Cooperative Stochastic Bandits David Martínez-Rubio, Varun Kanade, Patrick Rebeschini