Mohammad Reza Karimi

Orcid: 0000-0003-4749-5613

Affiliations:
  • ETH Zurich, Department of Computer Science, Switzerland


According to our database1, Mohammad Reza Karimi authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm.
CoRR, 2023

Stochastic Approximation Algorithms for Systems of Interacting Particles.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Dynamical System View of Langevin-Based Non-Convex Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Riemannian stochastic optimization methods avoid strict saddle points.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Isotropic Gaussian Processes on Finite Spaces of Graphs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Prospects and challenges of cancer systems medicine: from genes to disease networks.
Briefings Bioinform., 2022

The Dynamics of Riemannian Robbins-Monro Algorithms.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Online Active Model Selection for Pre-trained Classifiers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
Consistent Online Optimization: Convex and Submodular.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017
Stochastic Submodular Maximization: The Case of Coverage Functions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Smart Broadcasting: Do You Want to be Seen?
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016


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