jnhujnhu / VR-SGD
A demo for VR-SGD(Comparing to some state-of-the-art algorithms).
☆13Updated 6 years ago
Related projects: ⓘ
- Code for Implicit Regularization in Deep Matrix Factorization.☆33Updated last month
- Python implementation of SVRG-BB and SGD-BB algorithms☆29Updated 6 years ago
- Multi-task learning via Structural Regularization☆133Updated 3 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆23Updated 6 years ago
- Low-rank Matrix Completion using Alternating Minimization☆22Updated 6 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆43Updated 6 years ago
- ☆14Updated 6 years ago
- source code of GLISTA☆24Updated 4 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆23Updated 5 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆43Updated 5 years ago
- 张量分解算法整理☆58Updated 8 years ago
- [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…☆58Updated 2 years ago
- Lasso with ADMM in Python/MPI☆27Updated 8 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆32Updated 4 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 8 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆44Updated last year
- Contractive Auto-Encoders in Numpy☆14Updated 12 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆15Updated 7 years ago
- Examples/code for the alternating direction method of multipliers (ADMM)☆100Updated 9 years ago
- The code for the paper: https://arxiv.org/abs/1806.06317☆24Updated 5 years ago
- GANs with multiple Discriminators☆79Updated last year
- Implementation of SVRG for training neural networks☆17Updated 4 years ago
- Matlab code of Bayesian CP Factorization for Tensor Completion☆30Updated 8 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆68Updated 3 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆18Updated 3 years ago