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Michael Goldberg
Results: 62

#	Item
11	Multi-Armed Bandit Models for 2D Grasp Planning with Uncertainty Michael Laskey1 , Jeff Mahler1 , Zoe McCarthy1 , Florian T. Pokorny1 , Sachin Patil1 , Jur van den Berg4 , Danica Kragic3 , Pieter Abbeel1 , Ken Goldberg2 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2015-08-31 02:12:22 Statistics Probability Child development Grasp Reinforcement learning Gittins index Gaussian process Sensitivity analysis Monte Carlo integration Probability distribution Monte Carlo method Sampling
12	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 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2014-04-26 02:11:09 Mathematical optimization Systems theory Engineering Systems science Control theory Robot control Operations research Optimal control Trajectory optimization Kalman filter Model predictive control Quadratic programming
13	SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2016-02-18 10:52:35 Machine learning Artificial intelligence Statistics Learning Statistical classification Support vector machine Apprenticeship learning Artificial neural network Loss function Motion planning Reinforcement learning Robotics
14	ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran Add to Reading List Source URL: sampleclean.org Language: English - Date: 2016-01-15 13:57:46 Statistics Statistical theory Estimator Statistical inference M-estimators Convex optimization Stochastic gradient descent Bias of an estimator Loss function Data analysis Linear regression Generalised Hough transform
15	Non-Equilibrium Statistical Physics of Currents in Queuing Networks Vladimir Y. Chernyak a,b ,∗ Michael Chertkov a,c ,† David A. Goldberg a,d ,‡ and Konstantin Turitsyn a,e§ a Center for Nonlinear Studies and The Add to Reading List Source URL: www2.isye.gatech.edu Language: English - Date: 2015-03-04 10:47:04
16	Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping Benjamin Charrow, Gregory Kahn, Sachin Patil, Sikang Liu, Ken Goldberg, Pieter Abbeel, Nathan Michael, Vijay Kumar Abstract—We propose an Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2015-05-17 14:49:01
17	Social Influence Bias in Recommender Systems: A Methodology for Learning, Analyzing, and Mitigating Bias in Ratings Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg Department of Electrical Engineering and C Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2014-05-08 10:19:57 Recommender systems Psychometrics Behavioural sciences Psychology Behavior Cognitive biases G factor Collaborative filtering Social psychology Median Rating scale Bias
18	A Wirelessly Powered, Biologically Inspired Ambulatory Microrobot Michael Karpelson, Benjamin H. Waters, Benjamin Goldberg, Brody Mahoney, Onur Ozcan, Andrew Baisch, Pierre-Marie Meyitang, Joshua R. Smith, and Robert J. Add to Reading List Source URL: micro.seas.harvard.edu Language: English - Date: 2014-06-09 10:21:35 Nikola Tesla Wireless energy transfer Electrical engineering Energy storage Coil Helices Electric motor Inductor Transformer Electromagnetism Energy Electric power
19	Directors for the 2014 Season Michael Goldberg (Professional Company Director of Henry IV) has directed and choreographed on many of Chicago’s stages including the Goodman Theatre, Chicago Shakespeare Theatre, Court Th Add to Reading List Source URL: shakespeare.nd.edu Language: English - Date: 2014-12-18 15:02:19 Darko Tresnjak Irina Brown Shakespeare Festival Year of birth missing Theatre
20	Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2014-04-26 02:12:36 Data analysis Machine learning Robot control Linear regression Kinematics Errors and residuals in statistics Regularization Robotics Robot Statistics Regression analysis Econometrics

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