| Kalman filtering with equality and inequality state constraints N Gupta, R Hauser arXiv preprint arXiv:0709.2791, 2007 | 163 | 2007 |
| A DC-programming algorithm for kernel selection A Argyriou, R Hauser, CA Micchelli, M Pontil Proceedings of the 23rd international conference on Machine learning, 41-48, 2006 | 154 | 2006 |
| Self-scaled barrier functions on symmetric cones and their classification RA Hauser, O Güler Foundations of Computational Mathematics 2, 121-143, 2002 | 39 | 2002 |
| A historical note on the entropy principle of Müller and Liu RA Hauser, NP Kirchner Continuum Mechanics and Thermodynamics 14 (2), 223, 2002 | 37 | 2002 |
| Randomized relaxation methods for the maximum feasible subsystem problem E Amaldi, P Belotti, R Hauser Integer Programming and Combinatorial Optimization: 11th International IPCO …, 2005 | 33 | 2005 |
| The Continuous Newton--Raphson Method Can Look Ahead R Hauser, J Nedic SIAM Journal on Optimization 15 (3), 915-925, 2005 | 31 | 2005 |
| Self-scaled barrier functions: Decomposition and classification RA Hauser UNIVERSITY OF CAMBRIDGE DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL …, 1999 | 21 | 1999 |
| Relative robust portfolio optimization with benchmark regret G Simões, M McDonald, S Williams, D Fenn, R Hauser Quantitative Finance 18 (12), 1991-2003, 2018 | 19 | 2018 |
| Self-scaled barriers for irreducible symmetric cones RA Hauser, Y Lim SIAM Journal on Optimization 12 (3), 715-723, 2002 | 17 | 2002 |
| Relative robust portfolio optimization R Hauser, V Krishnamurthy, R Tütüncü arXiv preprint arXiv:1305.0144, 2013 | 16 | 2013 |
| Binary matrix factorisation via column generation RA Kovacs, O Gunluk, RA Hauser Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3823-3831, 2021 | 15 | 2021 |
| MOSES: A streaming algorithm for linear dimensionality reduction A Eftekhari, RA Hauser, A Grammenos IEEE transactions on pattern analysis and machine intelligence 42 (11), 2901 …, 2019 | 15 | 2019 |
| Line search methods for unconstrained optimisation R Hauser Lecture 8, Numerical Linear Algebra and Optimisation Oxford University …, 2007 | 15 | 2007 |
| Large deviations-based upper bounds on the expected relative length of longest common subsequences R Hauser, S Martinez, H Matzinger Advances in Applied Probability 38 (3), 827-852, 2006 | 15 | 2006 |
| Tail decay and moment estimates of a condition number for random linear conic systems D Cheung, F Cucker, R Hauser SIAM Journal on Optimization 15 (4), 1237-1261, 2005 | 15 | 2005 |
| Boundedness theorems for the relaxation method E Amaldi, R Hauser Mathematics of Operations Research 30 (4), 939-955, 2005 | 14 | 2005 |
| Pca by determinant optimisation has no spurious local optima RA Hauser, A Eftekhari, HF Matzinger Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 10 | 2018 |
| Conditioning of random conic systems under a general family of input distributions R Hauser, T Müller Foundations of Computational Mathematics 9 (3), 335-358, 2009 | 10 | 2009 |
| Approximation to the mean curve in the LCS problem C Durringer, R Hauser, H Matzinger Stochastic Processes and their Applications 118 (4), 629-648, 2008 | 10 | 2008 |
| 3D image reconstruction from X-ray measurements with overlap M Klodt, R Hauser Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 8 | 2016 |
Nachi Gupta, MD, PhD, FAAEMKaiser Permanente在 kp.org 的电子邮件经过验证
