Patrick Rebeschini

15 papers and 136 indexed citations i.

Patrick Rebeschini has authored 15 papers that have received a total of 136 indexed citations. This includes 8 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 5 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Markov Chains and Monte Carlo Methods (5 papers). Patrick Rebeschini is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Markov Chains and Monte Carlo Methods (5 papers) and collaborates with scholars based in United Kingdom, United States and Switzerland. Patrick Rebeschini's co-authors include Ramon van Handel, Sekhar Tatikonda, Varun Kanade, Amin Karbasi and Fan Wu and has published in prestigious journals such as Journal of Statistical Physics, The Annals of Applied Probability and IEEE Transactions on Control of Network Systems.