Regular biography
Andre Wibisono is an Assistant Professor in the Department of Computer Science at Yale University. His research interests include areas within computer science, though specific details are not provided. He is affiliated with the Yale University Computer Science department and contributes to academic study through his role. His profile page provides further information about his work and contributions.
Scholar-generated biography
Andre Wibisono is an Assistant Professor of Computer Science at Yale University, specializing in machine learning, optimization, sampling, and game theory. His research focuses on developing efficient algorithms for optimization and sampling, with applications in machine learning and statistical inference. He has contributed to the analysis of zero-order convex optimization, accelerated methods in optimization, and the convergence of stochastic algorithms. His work also explores the interplay between optimization and variational methods, particularly in the context of Langevin dynamics and score-based generative models. Wibisono's research emphasizes theoretical guarantees and practical efficiency in complex computational problems.