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.

Education

• 2020-present: Ph.D., ETH Zurich, advised by Prof. David Steurer
• 2019-2020: M.Eng., MIT, advised by Prof. Guy Bresler
• 2015-2019: B.S., MIT

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