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Found 8 papers, 0 papers with code
Online L1-Dictionary Learning with Application to Novel Document Detection
Given their pervasive use, social media, such as Twitter, have become a leading source of breaking news.
Bregman Alternating Direction Method of Multipliers
The mirror descent algorithm (MDA) generalizes gradient descent by using a Bregman divergence to replace squared Euclidean distance.
Online Alternating Direction Method (longer version)
Online optimization has emerged as powerful tool in large scale optimization.
Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
We present a parallel MAP inference algorithm called Bethe-ADMM based on two ideas: tree-decomposition of the graph and the alternating direction method of multipliers (ADMM).
Large Scale Distributed Sparse Precision Estimation
We consider the problem of sparse precision matrix estimation in high dimensions using the CLIME estimator, which has several desirable theoretical properties.
Randomized Block Coordinate Descent for Online and Stochastic Optimization
One is online or stochastic gradient descent (OGD/SGD), and the other is randomzied coordinate descent (RBCD).
Parallel Direction Method of Multipliers
In this paper, we propose a parallel randomized block coordinate method named Parallel Direction Method of Multipliers (PDMM) to solve the optimization problems with multi-block linear constraints.
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future.
