timlautk / BCD-for-DNNs-PyTorchLinks
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
☆37Updated 6 years ago
Alternatives and similar repositories for BCD-for-DNNs-PyTorch
Users that are interested in BCD-for-DNNs-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆59Updated 2 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- ☆124Updated last year
- ☆91Updated 3 years ago
- Code for the signSGD paper☆91Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Implementation of SVRG for training neural networks☆22Updated 5 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- ☆83Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- ☆67Updated 6 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆31Updated last year
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆106Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks☆33Updated 3 years ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆17Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆131Updated 6 years ago
- Coresets via Bilevel Optimization☆67Updated 4 years ago