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 Autom. Lett., 2018)

Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. - Rares-Darius Buhai; Andrej Risteski; Yoni Halpern; David A. Sontag (CoRR, 2019)

Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models. - Rares-Darius Buhai; Yoni Halpern; Yoon Kim; Andrej Risteski; David A. Sontag (ICML, 2020)

Learning Restricted Boltzmann Machines with Sparse Latent Variables. - Guy Bresler; Rares-Darius Buhai (NeurIPS, 2020)

Learning Restricted Boltzmann Machines with Few Latent Variables. - Guy Bresler; Rares-Darius Buhai (CoRR, 2020)

Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures. - Rares-Darius Buhai; David Steurer (COLT, 2023)

Algorithms Approaching the Threshold for Semi-random Planted Clique. - Rares-Darius Buhai; Pravesh K. Kothari; David Steurer (STOC, 2023)

Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression. - Rares-Darius Buhai; Jingqiu Ding; Stefan Tiegel (COLT, 2024)

Semirandom Planted Clique and the Restricted Isometry Property. - Jaroslaw Blasiok; Rares-Darius Buhai; Pravesh K. Kothari; David Steurer (FOCS, 2024)

Robust Mixture Learning when Outliers Overwhelm Small Groups. - Daniil Dmitriev; Rares-Darius Buhai; Stefan Tiegel; Alexander Wolters; Gleb Novikov; Amartya Sanyal; David Steurer; Fanny Yang (NeurIPS, 2024)

Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures. - Prashanti Anderson; Mitali Bafna; Rares-Darius Buhai; Pravesh K. Kothari; David Steurer (CoRR, 2024)

Lasso and Partially-Rotated Designs. - Rares-Darius Buhai (CoRR, 2025)

The Quasi-Polynomial Low-Degree Conjecture is False. - Rares-Darius Buhai; Jun-Ting Hsieh; Aayush Jain; Pravesh K. Kothari (CoRR, 2025)