ishaqadenali / SVRG-Pytorch
Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch
☆26Updated 6 years ago
Alternatives and similar repositories for SVRG-Pytorch:
Users that are interested in SVRG-Pytorch are comparing it to the libraries listed below
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆72Updated 4 years ago
- Implementation of Stochastic Variance Reduced Gradient Descent☆8Updated 7 years ago
- Implementation of SVRG for training neural networks☆21Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- ☆31Updated 2 years ago
- ZOSVRG-BlackBox-Adv☆11Updated 6 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ☆42Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- ☆50Updated 2 years ago
- ☆122Updated 10 months ago
- ☆19Updated 6 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- HSML for ICML 2019☆51Updated 5 years ago
- Path-SGD: Path-Normalized Optimization in Deep Neural Networks☆19Updated 6 years ago
- This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"☆30Updated 6 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- ☆37Updated 3 years ago