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
- Algorithms approaching the threshold for semi-random planted clique
Rares-Darius Buhai, Pravesh K. Kothari, David Steurer
STOC 2023 (to appear) - 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
- ETH Zurich, TA: Algorithms and Data Structures (Fall 2021, 2022), Optimization for Data Science (Spring 2021), Algorithmic Foundations of Data Science (Spring 2022)
- MIT, TA: Introduction to Probability 6.041 (Fall 2019), Machine Learning 6.867 (Spring 2020)