Sushant Sachdeva

22 papers and 195 indexed citations i.

Sushant Sachdeva has authored 22 papers that have received a total of 195 indexed citations. This includes 14 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 8 papers in Statistics and Probability. The topics of these papers are Combinatorial Optimization and Complexity Theory (11 papers), Markov Chains and Monte Carlo Methods (6 papers) and Machine Learning and Algorithms (5 papers). Sushant Sachdeva is often cited by papers focused on Combinatorial Optimization and Complexity Theory (11 papers), Markov Chains and Monte Carlo Methods (6 papers) and Machine Learning and Algorithms (5 papers) and collaborates with scholars based in United States, Canada and Switzerland. Sushant Sachdeva's co-authors include Rasmus Kyng, Richard Peng, Timothy Chu, Roger Grosse and Junxing Wang and has published in prestigious journals such as Communications of the ACM, SIAM Journal on Computing and Computer Graphics Forum.