8223 Gates & Hillman
5000 Forbes Avenue
Pittsburgh, PA 15213
I am a Ph.D. student in Machine Learning Department at CMU advised by Eric Xing. My research interests are in learning theory, information theory, representation learning, including various latent variable models. I am also interested in applications in healthcare, natural language, and general AI.
I got an M.Sc. in Computer Science from KAUST where I worked with Khaled Salama and collaborated with Gert Cauwenberghs on neuromorphic approaches to machine learning. I also hold a B.Sc. in Physics from Lomonosov Moscow State University and M.Eng. in Data Analysis from Yandex Data School.
|May 30, 2017||New preprint: Contextual Explanation Networks. Available on arXiv.|
|May 21, 2017||Spending this summer at OpenAI.|
|Nov 15, 2016||GP-LSTMs will be presented at Bayesian Deep Learning workshop.|
|Oct 28, 2016||
Our paper on learning scalable recurrent kernels is now available on arXiv.
Gaussian Processes for Keras: initial code release on Github.
More updates, tutorials, and examples are coming soon!
|Aug 12, 2016||
A paper on HMMs with nonparametric emissions has been accepted to NIPS!
Preprint is available on arXiv and code on GitHub.