Papers
8,340 papers found
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
Hierarchical Compound Poisson Factorization
Mehmet Basbug, Barbara Engelhardt
Hierarchical Decision Making In Electricity Grid Management
Gal Dalal, Elad Gilboa, Shie Mannor
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
Roy Adams, Nazir Saleheen, Edison Thomaz et al.
Hierarchical Variational Models
Rajesh Ranganath, Dustin Tran, David Blei
Horizontally Scalable Submodular Maximization
Mario Lucic, Olivier Bachem, Morteza Zadimoghaddam et al.
How to Fake Multiply by a Gaussian Matrix
Michael Kapralov, Vamsi Potluru, David Woodruff
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
Importance Sampling Tree for Large-scale Empirical Expectation
Olivier Canevet, Cijo Jose, Francois Fleuret
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-Zhu, Yang Yuan
Inference Networks for Sequential Monte Carlo in Graphical Models
Brooks Paige, Frank Wood
Interacting Particle Markov Chain Monte Carlo
Tom Rainforth, Christian Naesseth, Fredrik Lindsten et al.
Interactive Bayesian Hierarchical Clustering
Sharad Vikram, Sanjoy Dasgupta
Isotonic Hawkes Processes
Yichen Wang, Bo Xie, Nan Du et al.
K-Means Clustering with Distributed Dimensions
Hu Ding, Yu Liu, Lingxiao Huang et al.
k-variates++: more pluses in the k-means++
Richard Nock, Raphael Canyasse, Roksana Boreli et al.
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time
Yuchen Zhang, Jason D. Lee, Michael I. Jordan