Optimization for Data-Driven Science (ODDS) Research Group @ USC
Designing and studying of efficient large scale data analysis algorithms for machine learning tools and models. Led by Professor Meisam Razaviyayn
University of Southern California
Pinned Repositories
BatchEffect
Inference in the Presence of Batch Effect
DAIR
DP-with-public-data
Optimal Differentially Private Learning with Public Data
f-FERM
FairFashionMNIST
FERMI
The implementation of Fair Empirical Risk Minimization
I-CONVEX
Renyi-Fair-Inference
RIFLE
Robust-NN-Training
Optimization for Data-Driven Science (ODDS) Research Group @ USC's Repositories
optimization-for-data-driven-science/FERMI
The implementation of Fair Empirical Risk Minimization
optimization-for-data-driven-science/RIFLE
optimization-for-data-driven-science/DP-with-public-data
Optimal Differentially Private Learning with Public Data
optimization-for-data-driven-science/Renyi-Fair-Inference
optimization-for-data-driven-science/DAIR
optimization-for-data-driven-science/FairFashionMNIST
optimization-for-data-driven-science/f-FERM
optimization-for-data-driven-science/BatchEffect
Inference in the Presence of Batch Effect
optimization-for-data-driven-science/I-CONVEX
optimization-for-data-driven-science/Robust-NN-Training
optimization-for-data-driven-science/XAI
optimization-for-data-driven-science/ADMM-Q
optimization-for-data-driven-science/DR-FERMI
A Distributionally Robust Optimization Framework for Handling Distribution Shift
optimization-for-data-driven-science/GN-RD
optimization-for-data-driven-science/MultiAbstain
optimization-for-data-driven-science/Robust-Traffic-Flow-Prediction
A new formulation to minimize both average and variance of the error.
optimization-for-data-driven-science/Stochastic-multi-objective-EM