Papers
4,025 papers found
Parameter Estimation of Generalized Linear Models without Assuming their Link Function
Sreangsu Acharyya, Joydeep Ghosh
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem Meent, Hongseok Yang, Vikash Mansinghka et al.
Power-Law Graph Cuts
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion
Rikiya Takahashi, Tetsuro Morimura
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
Xiangli Chen, Brian Ziebart
Preferential Attachment in Graphs with Affinities
Jay Lee, Manzil Zaheer, Stephan Günnemann et al.
Reactive bandits with attitude
Pedro Ortega, Kee-Eung Kim, Daniel Lee
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
Michael Hughes, Dae Il Kim, Erik Sudderth
Robust Cost Sensitive Support Vector Machine
Shuichi Katsumata, Akiko Takeda
Robust sketching for multiple square-root LASSO problems
Vu Pham, Laurent El Ghaoui
Scalable Nonparametric Multiway Data Analysis
Shandian Zhe, Zenglin Xu, Xinqi Chu et al.
Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings
Bo Li, Yevgeniy Vorobeychik
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, Zoubin Ghahramani
Sensor Selection for Crowdsensing Dynamical Systems
Francois Schnitzler, Jia Yuan Yu, Shie Mannor
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
Similarity Learning for High-Dimensional Sparse Data
Kuan Liu, Aurélien Bellet, Fei Sha
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande et al.
Sparse Solutions to Nonnegative Linear Systems and Applications
Aditya Bhaskara, Ananda Suresh, Morteza Zadimoghaddam
Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack et al.
Sparsistency of \ell_1-Regularized M-Estimators
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar et al.
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method
David Anderson, Simon Du, Michael Mahoney et al.
State Space Methods for Efficient Inference in Student-t Process Regression
Arno Solin, Simo Särkkä