David Martínez-Rubio

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Rate Adaptation

Multi Armed Bandit

Top Venues

Publications

Christopher Criscitiello, David Martínez-Rubio, Nicolas Boumal
Open Problem: Polynomial linearly-convergent method for g-convex optimization? COLT (2023)
David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. CoRR (2023)
David Martínez-Rubio, Sebastian Pokutta
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties. COLT (2023)
Christopher Criscitiello, David Martínez-Rubio, Nicolas Boumal
Open Problem: Polynomial linearly-convergent method for geodesically convex optimization? CoRR (2023)
David Martínez-Rubio, Elias Samuel Wirth, Sebastian Pokutta
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond. COLT (2023)
David Martínez-Rubio
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces. ALT (2022)
Francisco Criado, David Martínez-Rubio, Sebastian Pokutta
Fast Algorithms for Packing Proportional Fairness and its Dual. NeurIPS (2022)
David Martínez-Rubio, Sebastian Pokutta
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties. CoRR (2022)
Mario Lezcano Casado, David Martínez-Rubio
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group. ICML (2019)
David Martínez-Rubio, Varun Kanade, Patrick Rebeschini
Decentralized Cooperative Stochastic Bandits. NeurIPS (2019)
Mario Lezcano Casado, David Martínez-Rubio
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group. CoRR (2019)
Chris Mingard, Joar Skalse, Guillermo Valle Pérez, David Martínez-Rubio, Vladimir Mikulik, Ard A. Louis
Neural networks are a priori biased towards Boolean functions with low entropy. CoRR (2019)
David Martínez-Rubio, Varun Kanade, Patrick Rebeschini
Decentralized Cooperative Stochastic Multi-armed Bandits. CoRR (2018)
Atilim Gunes Baydin, Robert Cornish, David Martínez-Rubio, Mark Schmidt, Frank Wood
Online Learning Rate Adaptation with Hypergradient Descent. ICLR (Poster) (2018)
Mario Lezcano Casado, Atilim Gunes Baydin, David Martínez-Rubio, Tuan Anh Le, Frank D. Wood, Lukas Alexander Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators. CoRR (2017)
Atilim Gunes Baydin, Robert Cornish, David Martínez-Rubio, Mark Schmidt, Frank D. Wood
Online Learning Rate Adaptation with Hypergradient Descent. CoRR (2017)