Papers
Fast Multi-stage Submodular Maximization
Kai Wei, Rishabh Iyer, Jeff Bilmes
Fast Stochastic Alternating Direction Method of Multipliers
Wenliang Zhong, James Kwok
Filtering with Abstract Particles
Jacob Steinhardt, Percy Liang
Finding Dense Subgraphs via Low-Rank Bilinear Optimization
Dimitris Papailiopoulos, Ioannis Mitliagkas, Alexandros Dimakis et al.
Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke, Caetano
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Jieping Ye, Ryohei Fujimaki
Gaussian Approximation of Collective Graphical Models
Liping Liu, Daniel Sheldon, Thomas Dietterich
Gaussian Process Classification and Active Learning with Multiple Annotators
Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
David Barber, Yali Wang
Gaussian Process Optimization with Mutual Information
Emile Contal, Vianney Perchet, Nicolas Vayatis
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
Shashank Singh, Barnabas Poczos
Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He et al.
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan et al.
Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi et al.
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
Alexander Schwing, Tamir Hazan, Marc Pollefeys et al.
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
Xiaotong Yuan, Ping Li, Tong Zhang
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
Yuan Fang, Kevin Chang, Hady Lauw
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
Oscar Beijbom, Mohammad Saberian, David Kriegman et al.
Hamiltonian Monte Carlo Without Detailed Balance
Jascha Sohl-Dickstein, Mayur Mudigonda, Michael DeWeese
Hard-Margin Active Linear Regression
Elad Hazan, Zohar Karnin
Heavy-tailed regression with a generalized median-of-means
Daniel Hsu, Sivan Sabato
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
Bilal Ahmed, Thomas Thesen, Karen Blackmon et al.
Hierarchical Dirichlet Scaling Process
Dongwoo Kim, Alice Oh
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro et al.