Rares-Darius Buhai

I am a PhD 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: PhD, ETH Zurich, advised by Prof. David Steurer
• 2019-2020: MEng, MIT, advised by Prof. Guy Bresler
• 2015-2019: BSc, MIT

Papers

• Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures
  RB, David Steurer
  COLT 2023
• Algorithms approaching the threshold for semi-random planted clique
  RB, Pravesh K. Kothari, David Steurer
  STOC 2023
• Learning Restricted Boltzmann Machines with Sparse Latent Variables
  Guy Bresler, RB
  NeurIPS 2020
• Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
  RB, 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, RB, Laurie Marceau, Barbara Deml, Julie A. Shah
  IEEE Robotics and Automation Letters, 2018

Teaching

• ETH Zurich, TA: Algorithms and Data Structures (Fall 2021, 2022, 2023), Algorithmic Foundations of Data Science (Spring 2022), Optimization for Data Science (Spring 2021)
• MIT, TA: Machine Learning 6.867 (Spring 2020), Introduction to Probability 6.041 (Fall 2019)