Andre Wibisono
Assistant Professor
Department of Computer Science
Yale University
Department of Computer Science
Yale University
I am an Assistant Professor in the Department of Computer Science at Yale University. My research interests are in the design and analysis of algorithms for machine learning, optimization, and sampling.
I am particularly interested in understanding the connections between continuous-time dynamics and discrete-time algorithms, and viewing sampling as optimization in the space of probability distributions.
Research
My research focuses on the mathematical foundations of computation and learning. Key areas include:
- Optimization: Accelerated methods, variational principles, and continuous-time dynamics.
- Sampling: Langevin dynamics, Hamiltonian Monte Carlo, and non-log-concave sampling.
- Machine Learning: Probabilistic models, inference, and game dynamics in multi-agent systems.
Teaching
- CPSC 661: Sampling algorithms for ML
- CPSC 486/586: Probabilistic Machine Learning
- CPSC 365: Algorithms