Papers
173,579 papers found
Protocols for Learning Classifiers on Distributed Data
Hal Daume III, Jeff Phillips, Avishek Saha et al.
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders
Sanjeev Arora, Rong Ge, Ankur Moitra et al.
Proximal Newton-type methods for convex optimization
Jason Lee, Yuekai Sun, Michael Saunders
Putting Bayes to sleep
Dmitry Adamskiy, Manfred K. Warmuth, Wouter M. Koolen
QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization
Hartmut Neven, Vasil S. Denchev, Geordie Rose et al.
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging
Chris Hinrichs, Vikas Singh, Jiming Peng et al.
Quantum Set Intersection and its Application to Associative Memory
Tamer Salman, Yoram Baram
Query Complexity of Derivative-Free Optimization
Kevin G. Jamieson, Robert Nowak, Ben Recht
Query Strategies for Evading Convex-Inducing Classifiers
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang et al.
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun, S V N Vishwanathan
Random Design Analysis of Ridge Regression
Daniel Hsu, Sham M. Kakade, Tong Zhang
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani et al.
Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan Adams, Richard Zemel
Random Search for Hyper-Parameter Optimization
James Bergstra, Yoshua Bengio
Random Utility Theory for Social Choice
Hossein Azari, David Parks, Lirong Xia
Rare Probability Estimation under Regularly Varying Heavy Tails
Mesrob I. Ohannessian, Munther A. Dahleh
Rational inference of relative preferences
Nisheeth Srivastava, Paul R. Schrater
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression
Christoph Hartmann, Joschka Boedecker, Oliver Obst et al.
Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor
Ilya Lysenkov, victor Eruhimov, Gary Bradski
Recognizing Activities by Attribute Dynamics
Weixin Li, Nuno Vasconcelos
Reconstruction from Anisotropic Random Measurements
Mark Rudelson, Shuheng Zhou
Recovering Networks from Distance Data
Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm et al.
Recovery of Sparse Probability Measures via Convex Programming
Mert Pilanci, Laurent E. Ghaoui, Venkat Chandrasekaran