Buhai, Rares-Darius

5 publications

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

NeurIPS 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

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

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

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