Papers
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber, Elad Hazan, Chi Jin et al.
Fast k-means with accurate bounds
James Newling, Francois Fleuret
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing
Ke Li, Jitendra Malik
Fast methods for estimating the Numerical rank of large matrices
Shashanka Ubaru, Yousef Saad
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching
Mu Niu, Simon Rogers, Maurizio Filippone et al.
Fast Rate Analysis of Some Stochastic Optimization Algorithms
Chao Qu, Huan Xu, Chong Ong
Fixed Point Quantization of Deep Convolutional Networks
Darryl Lin, Sachin Talathi, Sreekanth Annapureddy
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission
Jinsung Yoon, Ahmed Alaa, Scott Hu et al.
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
Andre Martins, Ramon Astudillo
Gaussian process nonparametric tensor estimator and its minimax optimality
Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi et al.
Gaussian quadrature for matrix inverse forms with applications
Chengtao Li, Suvrit Sra, Stefanie Jegelka
Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
Generalization Properties and Implicit Regularization for Multiple Passes SGM
Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
Generalized Direct Change Estimation in Ising Model Structure
Farideh Fazayeli, Arindam Banerjee
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan et al.
Geometric Mean Metric Learning
Pourya Zadeh, Reshad Hosseini, Suvrit Sra
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
Igor Colin, Aurelien Bellet, Joseph Salmon et al.
Graying the black box: Understanding DQNs
Tom Zahavy, Nir Ben-Zrihem, Shie Mannor
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
Jason Altschuler, Aditya Bhaskara, Gang Fu et al.
Gromov-Wasserstein Averaging of Kernel and Distance Matrices
Gabriel Peyré, Marco Cuturi, Justin Solomon
Group Equivariant Convolutional Networks
Taco Cohen, Max Welling
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
Hawkes Processes with Stochastic Excitations
Young Lee, Kar Wai Lim, Cheng Soon Ong
Heteroscedastic Sequences: Beyond Gaussianity
Oren Anava, Shie Mannor