767 citations · 4.4k across the 70 of their papers we have counts for
10 papers · 1 filter
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Ming Lin, Shuang Qiu, Jieping Ye +5
Factorization machine (FM) is a popular machine learning model to capture the second order feature interactions. The optimal learning guarantee of FM and its generalized version is…
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
Ishan Jindal, Tony, Qin +3
In building intelligent transportation systems such as taxi or rideshare services, accurate prediction of travel time and distance is crucial for customer experience and resource m…
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure
Tao Yang, Paul Thompson, Sihai Zhao +1
Genome-wide association studies (GWA studies or GWAS) investigate the relationships between genetic variants such as single-nucleotide polymorphisms (SNPs) and individual traits. R…
Nonconvex One-bit Single-label Multi-label Learning
Shuang Qiu, Tingjin Luo, Jieping Ye +1
We study an extreme scenario in multi-label learning where each training instance is endowed with a single one-bit label out of multiple labels. We formulate this problem as a non-…
The Second Order Linear Model
Ming Lin, Shuang Qiu, Bin Hong +1
We study a fundamental class of regression models called the second order linear model (SLM). The SLM extends the linear model to high order functional space and has attracted cons…
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
Ming Lin, Jieping Ye
We develop an efficient alternating framework for learning a generalized version of Factorization Machine (gFM) on steaming data with provable guarantees. When the instances are sa…