151![Journal of Machine Learning Research[removed]1697 Submitted 9/10; Revised 12/11; Published 5/12 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise Journal of Machine Learning Research[removed]1697 Submitted 9/10; Revised 12/11; Published 5/12 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise](https://www.pdfsearch.io/img/a9dd1ce434bd6c88a1392297bc077630.jpg) | Add to Reading ListSource URL: www.eecs.berkeley.eduLanguage: English - Date: 2012-06-05 00:45:55
|
---|
152![Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗ Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗](https://www.pdfsearch.io/img/b2a26795b842e5e94bf9eb906b29b88c.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2014-08-20 20:23:29
|
---|
153![On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models Dietrich Braess Holger Dette On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models Dietrich Braess Holger Dette](https://www.pdfsearch.io/img/0a0aeb5e86e16945b41f4e3346c3560c.jpg) | Add to Reading ListSource URL: homepage.rub.deLanguage: English - Date: 2004-12-20 12:06:43
|
---|
154![Submitted to the Annals of Statistics OPTIMAL DISCRIMINATING DESIGNS FOR SEVERAL COMPETING REGRESSION MODELS By Dietrich Braess and Holger Dette Ruhr-Universit¨ Submitted to the Annals of Statistics OPTIMAL DISCRIMINATING DESIGNS FOR SEVERAL COMPETING REGRESSION MODELS By Dietrich Braess and Holger Dette Ruhr-Universit¨](https://www.pdfsearch.io/img/b70f522327b09976b732df923eb41135.jpg) | Add to Reading ListSource URL: homepage.rub.deLanguage: English - Date: 2013-08-05 04:10:56
|
---|
155![An Optimal Recursive Iterative Algorithm for Discrete Nonlinear Least-Squares EstimATION An Optimal Recursive Iterative Algorithm for Discrete Nonlinear Least-Squares EstimATION](https://www.pdfsearch.io/img/88c9dc973c54151cf38093c9a949956c.jpg) | Add to Reading ListSource URL: einstein.stanford.edu- Date: 2007-10-12 14:27:20
|
---|
156![C:/Users/Jur van den Berg/Documents/LQG-MP IJRR/jur-planningcontrol-IJRR-v8.dvi C:/Users/Jur van den Berg/Documents/LQG-MP IJRR/jur-planningcontrol-IJRR-v8.dvi](https://www.pdfsearch.io/img/224d5eb6873671615d994d2eecbc8f21.jpg) | Add to Reading ListSource URL: ieor.berkeley.eduLanguage: English - Date: 2011-06-09 12:46:21
|
---|
157![Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of](https://www.pdfsearch.io/img/43119577d5e10d0da355d22155ea1322.jpg) | Add to Reading ListSource URL: ieor.berkeley.eduLanguage: English - Date: 2014-04-26 02:11:09
|
---|
158![ES418, “OPTIMAL CONTROL & ESTIMATION” 1. Course Description: Analysis and design of control systems and estimators using optimal control theory. 2. Course Goals: To obtain mathematical models of mechanical apparatus ES418, “OPTIMAL CONTROL & ESTIMATION” 1. Course Description: Analysis and design of control systems and estimators using optimal control theory. 2. Course Goals: To obtain mathematical models of mechanical apparatus](https://www.pdfsearch.io/img/aa99110be795dd941ac643c3cf7f3f38.jpg) | Add to Reading ListSource URL: www.usna.edu- Date: 2014-07-03 14:12:45
|
---|
159![Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn](https://www.pdfsearch.io/img/3e8364a5c2d06b522ae5bdb068f958fc.jpg) | Add to Reading ListSource URL: people.csail.mit.eduLanguage: English - Date: 2010-06-04 04:19:00
|
---|
160![STATISTICS 601 Advanced Statistical Methods Mark S. Kaiser Department of Statistics Iowa State University STATISTICS 601 Advanced Statistical Methods Mark S. Kaiser Department of Statistics Iowa State University](https://www.pdfsearch.io/img/13d3aef365fa32fc376a6a8544cab745.jpg) | Add to Reading ListSource URL: www.public.iastate.eduLanguage: English - Date: 2006-08-21 10:47:04
|
---|