Papers
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
Andre Wibisono, Martin J. Wainwright, Michael I. Jordan et al.
Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach
Dijun Luo, Heng Huang, Feiping Nie et al.
Formalizing Assistive Teleoperation
Anca Dragan, Siddhartha Srinivasa
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Kei Wakabayashi, Takao Miura
Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan, Shuicheng Yan
From Deformations to Parts: Motion-based Segmentation of 3D Objects
Soumya Ghosh, Matthew Loper, Erik B. Sudderth et al.
Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation
Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui et al.
Fully Bayesian inference for neural models with negative-binomial spiking
Jonathan W. Pillow, James Scott
Fused sparsity and robust estimation for linear models with unknown variance
Arnak Dalalyan, Yin Chen
Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu et al.
Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani, Carl Rasmussen
GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei et al.
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions
Yuyang Wang, Roni Khardon, Dmitry Pechyony et al.
Generalized Optimal Reverse Prediction
Martha White, Dale Schuurmans
Generic Methods for Optimization-Based Modeling
Justin Domke
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
Hannes Nickisch
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys et al.
Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
Chiwoo Park, Jianhua Z. Huang, Yu Ding
Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu, Chenlei Leng
Gradient Weights help Nonparametric Regressors
Samory Kpotufe, Abdeslam Boularias
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Graphical Models via Generalized Linear Models
Eunho Yang, Genevera Allen, Zhandong Liu et al.