| 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 | 129 | 2006 |
| Kalman filtering with equality and inequality state constraints N Gupta, R Hauser arXiv preprint arXiv:0709.2791, 2007 | 90 | 2007 |
| Kalman filtering with equality and inequality state constraints N Gupta, R Hauser arXiv preprint arXiv:0709.2791, 2007 | 90 | 2007 |
| Self-scaled barrier functions on symmetric cones and their classification RA Hauser, O Güler Foundations of Computational Mathematics 2 (2), 121-143, 2002 | 35 | 2002 |
| A historical note on the entropy principle of Müller and Liu RA Hauser, NP Kirchner Continuum Mechanics and Thermodynamics 14 (2), 223, 2002 | 33 | 2002 |
| Randomized relaxation methods for the maximum feasible subsystem problem E Amaldi, P Belotti, R Hauser International Conference on Integer Programming and Combinatorial …, 2005 | 29 | 2005 |
| The Continuous Newton--Raphson Method Can Look Ahead R Hauser, J Nedic SIAM Journal on Optimization 15 (3), 915-925, 2005 | 24 | 2005 |
| Self-scaled barrier functions: Decomposition and classification RA Hauser UNIVERSITY OF CAMBRIDGE DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL …, 1999 | 20 | 1999 |
| 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 | 16 | 2006 |
| 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 | 16 | 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 |
| Self-scaled barriers for irreducible symmetric cones RA Hauser, Y Lim SIAM Journal on Optimization 12 (3), 715-723, 2002 | 15 | 2002 |
| Boundedness theorems for the relaxation method E Amaldi, R Hauser Mathematics of Operations Research 30 (4), 939-955, 2005 | 12 | 2005 |
| Boundedness theorems for the relaxation method E Amaldi, R Hauser Mathematics of Operations Research 30 (4), 939-955, 2005 | 12 | 2005 |
| 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 |
| Relative robust portfolio optimization R Hauser, V Krishnamurthy, R Tütüncü arXiv preprint arXiv:1305.0144, 2013 | 9 | 2013 |
| Line search methods for unconstrained optimisation R Hauser Lecture 8, Numerical Linear Algebra and Optimisation Oxford University …, 2007 | 8 | 2007 |
| On the probabilistic and thermal perceptron training algorithms E Amaldi, CG Diderich, R Hauser Technical Report ORWP-8-94, Department of Mathematics, Swiss Federal …, 1994 | 8 | 1994 |
| Adversarial smoothed analysis F Cucker, R Hauser, M Lotz Journal of Complexity 26 (3), 255-262, 2010 | 7 | 2010 |
| Using artificial market models to forecast financial time-series N Gupta, R Hauser, NF Johnson arXiv preprint physics/0506134, 2005 | 7 | 2005 |
Nachi Gupta, MD, PhDIcahn School of Medicine at Mount SinaiVerified email at mountsinai.org
