Gleb Novikov - RankMe

22 papers A* 9C 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Tight Differentially Private PCA via Matrix Coherence. SODA Tommaso d'Orsi, Gleb Novikov
2025	J	`jnl`	On Purely Private Covariance Estimation. CoRR Tommaso d'Orsi, Gleb Novikov
2025	J	`jnl`	Robust Scatter Matrix Estimation for Elliptical Distributions in Polynomial Time. CoRR Gleb Novikov
2025	J	`jnl`	Tight Differentially Private PCA via Matrix Coherence. CoRR Tommaso d'Orsi, Gleb Novikov
2024	A*	`conf`	Robust Mixture Learning when Outliers Overwhelm Small Groups. NeurIPS Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
2024	J	`jnl`	Robust Mixture Learning when Outliers Overwhelm Small Groups. CoRR Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
2024	A*	`conf`	Robust Sparse Regression with Non-Isotropic Designs. NeurIPS Chih-Hung Liu, Gleb Novikov
2024	J	`jnl`	Robust Sparse Regression with Non-Isotropic Designs. CoRR Chih-Hung Liu, Gleb Novikov
2023	—	`—`	Computational Aspects of Sparse PCA and Estimation Problems with Symmetric Noise. Gleb Novikov
2023	A*	`conf`	Higher degree sum-of-squares relaxations robust against oblivious outliers. SODA Tommaso d'Orsi, Rajai Nasser, Gleb Novikov, David Steurer
2023	A*	`conf`	Robust Mean Estimation Without Moments for Symmetric Distributions. NeurIPS Gleb Novikov, David Steurer, Stefan Tiegel
2023	J	`jnl`	Robust Mean Estimation Without a Mean: Dimension-Independent Error in Polynomial Time for Symmetric Distributions. CoRR Gleb Novikov, David Steurer, Stefan Tiegel
2023	A*	`conf`	Sparse PCA Beyond Covariance Thresholding. COLT Gleb Novikov
2023	J	`jnl`	Sparse PCA Beyond Covariance Thresholding. CoRR Gleb Novikov
2022	J	`jnl`	Higher degree sum-of-squares relaxations robust against oblivious outliers. CoRR Tommaso d'Orsi, Rajai Nasser, Gleb Novikov, David Steurer
2021	A*	`conf`	Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers. NeurIPS Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
2021	J	`jnl`	Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers. CoRR Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
2021	A*	`conf`	Consistent regression when oblivious outliers overwhelm. ICML Tommaso d'Orsi, Gleb Novikov, David Steurer
2020	J	`jnl`	Regress Consistently when Oblivious Outliers Overwhelm. CoRR Tommaso d'Orsi, Gleb Novikov, David Steurer
2020	A*	`conf`	Sparse PCA: Algorithms, Adversarial Perturbations and Certificates. FOCS Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
2020	J	`jnl`	Sparse PCA: Algorithms, Adversarial Perturbations and Certificates. CoRR Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
2017	C	`conf`	Randomness Deficiencies. CiE Gleb Novikov