Pinned Repositories
BCD-for-DNNs-PyTorch
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
convex_optimization
This is a homework of convex_optimization which implements almost all solutions of LASSO and some solutions of LP, such as cvxpy, gurobi, mosek, gradient descent, proximal primal problem, smoothed primal problem, FISTA, Nesterov second, ADMM and so on. Currently I completed the Chinese 'README', but in the near future, I will try to write an English version.
cubic_reg
Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization algorithm
CVI_CTM
Conjugate Computation Variational Inference for Correlated Topic Models
DRLR_NIPS2019_exp
The MATLAB source code
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gerrili1996.github.io
Incremental_DRSVM
The source code for our NeurIPS (2020) paper "Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine"
JDOT
Joint distribution optimal transportation for domain adaptation
LASSO_Using_PGD
A demo showing how proximal gradient descent and accelerated proximal gradient descent can solve LASSO formulation
gerrili1996's Repositories
gerrili1996/DRLR_NIPS2019_exp
The MATLAB source code
gerrili1996/convex_optimization
This is a homework of convex_optimization which implements almost all solutions of LASSO and some solutions of LP, such as cvxpy, gurobi, mosek, gradient descent, proximal primal problem, smoothed primal problem, FISTA, Nesterov second, ADMM and so on. Currently I completed the Chinese 'README', but in the near future, I will try to write an English version.
gerrili1996/Incremental_DRSVM
The source code for our NeurIPS (2020) paper "Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine"
gerrili1996/BCD-for-DNNs-PyTorch
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
gerrili1996/cubic_reg
Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization algorithm
gerrili1996/CVI_CTM
Conjugate Computation Variational Inference for Correlated Topic Models
gerrili1996/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gerrili1996/gerrili1996.github.io
gerrili1996/JDOT
Joint distribution optimal transportation for domain adaptation
gerrili1996/LASSO_Using_PGD
A demo showing how proximal gradient descent and accelerated proximal gradient descent can solve LASSO formulation
gerrili1996/LibADMM
A Library of ADMM for Sparse and Low-rank Optimization
gerrili1996/old_homepage
homepage
gerrili1996/Overleaf
Sumarising IEEE Document on JPEG standard
gerrili1996/subsampled_cubic_regularization
Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933
gerrili1996/Variational-Inference
Summary in the Monte Carlo Variational Inference