Maximilian Lam

8 papers and 419 indexed citations i.

Maximilian Lam has authored 8 papers that have received a total of 419 indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Hardware and Architecture. The topics of these papers are Stochastic Gradient Optimization Techniques (4 papers), Caching and Content Delivery (2 papers) and Algorithms and Data Compression (2 papers). Maximilian Lam is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Caching and Content Delivery (2 papers) and Algorithms and Data Compression (2 papers) and collaborates with scholars based in United States, South Korea and China. Maximilian Lam's co-authors include Dimitris Papailiopoulos, Kannan Ramchandran, Ramtin Pedarsani, Jeffrey Regier and David J. Schlegel and has published in prestigious journals such as IEEE Transactions on Information Theory and Journal of Parallel and Distributed Computing