Rares-Darius Buhai
I am a doctoral student at ETH Zurich, advised by Prof. David Steurer. I am interested in theoretical aspects of computer science and machine learning.
Contact me at rares dot buhai at inf dot ethz dot ch.
Papers
- Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures
Rares-Darius Buhai, David Steurer
preprint
- Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler, Rares-Darius Buhai
NeurIPS 2020
- Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David Sontag
ICML 2020
- Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time
Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, Julie A. Shah
IEEE Robotics and Automation Letters, 2018
Teaching
- Spring 2022: TA for Algorithmic Foundations of Data Science, ETH Zurich
- Fall 2021: TA for Algorithms and Data Structures, ETH Zurich
- Spring 2021: TA for Optimization for Data Science, ETH Zurich
- Spring 2020: TA for Introduction to Probability (6.041), MIT
- Fall 2019: TA for Machine Learning (6.867), MIT