Papers
4,025 papers found
Probability–Revealing Samples
Krzysztof Onak, Xiaorui Sun
Product Kernel Interpolation for Scalable Gaussian Processes
Jacob Gardner, Geoff Pleiss, Ruihan Wu et al.
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng
Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David Blei
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari et al.
Random Subspace with Trees for Feature Selection Under Memory Constraints
Antonio Sutera, Célia Châtel, Gilles Louppe et al.
Random Warping Series: A Random Features Method for Time-Series Embedding
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi et al.
Reducing Crowdsourcing to Graphon Estimation, Statistically
Devavrat Shah, Christina Lee
Regional Multi-Armed Bandits
Zhiyang Wang, Ruida Zhou, Cong Shen
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott Linderman, Gonzalo Mena, Hal Cooper et al.
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Robust Active Label Correction
Jan Kremer, Fei Sha, Christian Igel
Robust Locally-Linear Controllable Embedding
Ershad Banijamali, Rui Shu, mohammad Ghavamzadeh et al.
Robust Maximization of Non-Submodular Objectives
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
Robust Vertex Enumeration for Convex Hulls in High Dimensions
Pranjal Awasthi, Bahman Kalantari, Yikai Zhang
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Generalized Dynamic Topic Models
Patrick Jähnichen, Florian Wenzel, Marius Kloft et al.
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred Hero
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
Xu Hu, Guillaume Obozinski
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld, Amir Globerson
Semi-Supervised Prediction-Constrained Topic Models
Michael Hughes, Gabriel Hope, Leah Weiner et al.
Sketching for Kronecker Product Regression and P-splines
Huaian Diao, Zhao Song, Wen Sun et al.
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh et al.