David Martínez-Rubio
Orcid: 0000-0002-4345-5422Affiliations:
- Zuse Institute Berlin (ZIB), Laboratory for Interactive Optimization and Learning, Germany
- TU Berlin, Germany
- University of Oxford, Department of Computer Science, UK (former, PhD 2021)
According to our database1,
David Martínez-Rubio
authored at least 16 papers
between 2017 and 2024.
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Online presence:
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on github.com
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Bibliography
2024
CoRR, 2024
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Open Problem: Polynomial linearly-convergent method for geodesically convex optimization?
CoRR, 2023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties.
CoRR, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.
CoRR, 2017