Hadi Daneshmand

5 papers and 36 indexed citations i.

Hadi Daneshmand has authored 5 papers that have received a total of 36 indexed citations. This includes 3 papers in Artificial Intelligence, 2 papers in Computational Mechanics and 2 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Hadi Daneshmand is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Markov Chains and Monte Carlo Methods (2 papers) and collaborates with scholars based in Switzerland, United States and France. Hadi Daneshmand's co-authors include Thomas Hofmann, Aurélien Lucchi, Jonas Köhler, Aryan Mokhtari and Alejandro Ribeiro and has published in prestigious journals such as Journal of Machine Learning Research