Research & Publications
About My Research
I do research in mathematics, in particular foundations of data science and machine learning. Lately, I am interested in three directions:
- Optimization for Machine Learning
- Online Learning, Learning in Games & Reinforcement Learning Theory
- Modern Paradigms in Learning & Deep Learning Theory
On the side, I also work on interactive learning, privacy (differential privacy), and robustness. Beyond these areas, I also enjoy working on problems of independent interest, currently in number theory, combinatorics, and discrete geometry.
You can also find my publications on my Google Scholar profile.
If you are interested in collaborating, I’d love to hear from you -- reach out at viverson@uwaterloo.ca!
Publications & Manuscripts
Talks
I am deeply grateful to my mentors, collaborators, and friends who have profoundly shaped my path as a researcher. I extend particular gratitude to Xiaoheng Wang for introducing me to math research, Stephen Vavasis and Gautam Kamath for being the first ones to mentor me and involve me in interesting machine learning theory research, and Argyris Mouzakis for his invaluable mentorship and discussions throughout the year. I am also indebted to Shai Ben-David and Aukosh Jagannath for my interest in this field.