
Robust Gaussian Process Regression for RealTime High Precision GPS Signal Enhancement
Satellitebased positioning system such as GPS often suffers from large ...
read it

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Factorization machine (FM) is a popular machine learning model to captur...
read it

RobustSTL: A Robust SeasonalTrend Decomposition Algorithm for Long Time Series
Decomposing complex time series into trend, seasonality, and remainder c...
read it

Parallel Restarted SGD for NonConvex Optimization with Faster Convergence and Less Communication
For large scale nonconvex stochastic optimization, parallel minibatch ...
read it

Largescale Distance Metric Learning with Uncertainty
Distance metric learning (DML) has been studied extensively in the past ...
read it

Learning with NonConvex Truncated Losses by SGD
Learning with a convex loss function has been a dominating paradigm for...
read it

Robust Optimization over Multiple Domains
Recently, machine learning becomes important for the cloud computing ser...
read it

Multinomial Logit Bandit with Linear Utility Functions
Multinomial logit bandit is a sequential subset selection problem which ...
read it

PRNN: Recurrent Neural Network with Persistent Memory
Although Recurrent Neural Network (RNN) has been a powerful tool for mod...
read it

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Although deep learning models are highly effective for various learning ...
read it

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
In this paper, we consider the problem of column subset selection. We pr...
read it

Theory of Dualsparse Regularized Randomized Reduction
In this paper, we study randomized reduction methods, which reduce high...
read it

CUR Algorithm with Incomplete Matrix Observation
CUR matrix decomposition is a randomized algorithm that can efficiently ...
read it

FineGrained Visual Categorization via Multistage Metric Learning
Finegrained visual categorization (FGVC) is to categorize objects into ...
read it

Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates
With a weighting scheme proportional to t, a traditional stochastic grad...
read it

Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
Learning Mahanalobis distance metrics in a high dimensional feature spa...
read it

A Bayesian Framework for Community Detection Integrating Content and Link
This paper addresses the problem of community detection in networked dat...
read it
Shenghuo Zhu
verfied profile
Partner @ Aibee.com