Mert Pilanci
Mert Pilanci
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Newton sketch: A near linear-time optimization algorithm with linear-quadratic convergence
M Pilanci, MJ Wainwright
SIAM Journal on Optimization 27 (1), 205-245, 2017
1782017
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
M Pilanci, MJ Wainwright
The Journal of Machine Learning Research 17 (1), 1842-1879, 2016
1542016
Randomized sketches of convex programs with sharp guarantees
M Pilanci, MJ Wainwright
IEEE Transactions on Information Theory 61 (9), 5096-5115, 2015
1372015
Randomized sketches for kernels: Fast and optimal nonparametric regression
Y Yang, M Pilanci, MJ Wainwright
The Annals of Statistics 45 (3), 991-1023, 2017
1362017
Recovery of sparse probability measures via convex programming
M Pilanci, L El Ghaoui, V Chandrasekaran
532012
Sparse learning via boolean relaxations
M Pilanci, MJ Wainwright, L El Ghaoui
Mathematical Programming 151 (1), 63-87, 2015
472015
Structured least squares problems and robust estimators
M Pilanci, O Arikan, MC Pinar
IEEE transactions on signal processing 58 (5), 2453-2465, 2010
212010
Expectation maximization based matching pursuit
AC Gurbuz, M Pilanci, O Arikan
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
182012
Faster least squares optimization
J Lacotte, M Pilanci
arXiv preprint arXiv:1911.02675, 2019
112019
Polar coded distributed matrix multiplication
B Bartan, M Pilanci
arXiv preprint arXiv:1901.06811, 2019
112019
Optimal randomized first-order methods for least-squares problems
J Lacotte, M Pilanci
International Conference on Machine Learning, 5587-5597, 2020
102020
Neural networks are convex regularizers: Exact polynomial-time convex optimization formulations for two-layer networks
M Pilanci, T Ergen
International Conference on Machine Learning, 7695-7705, 2020
102020
Iterative hessian sketch with momentum
IK Ozaslan, M Pilanci, O Arikan
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
Structured least squares with bounded data uncertainties
M Pilanci, O Arikan, B Oguz, MC Pinar
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
82009
Convex geometry of two-layer relu networks: Implicit autoencoding and interpretable models
T Ergen, M Pilanci
International Conference on Artificial Intelligence and Statistics, 4024-4033, 2020
72020
High-dimensional optimization in adaptive random subspaces
J Lacotte, M Pilanci, M Pavone
arXiv preprint arXiv:1906.11809, 2019
72019
Fast randomized algorithms for convex optimization and statistical estimation
M Pilanci
UC Berkeley, 2016
72016
Debiasing distributed second order optimization with surrogate sketching and scaled regularization
M Dereziński, B Bartan, M Pilanci, MW Mahoney
arXiv preprint arXiv:2007.01327, 2020
62020
Weighted gradient coding with leverage score sampling
N Charalambides, M Pilanci, AO Hero
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
Convex geometry and duality of over-parameterized neural networks
T Ergen, M Pilanci
arXiv preprint arXiv:2002.11219, 2020
52020
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