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.☆70Updated 4 years ago
- Implementation of Stochastic Variance Reduced Gradient Descent☆8Updated 7 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- ☆31Updated 2 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
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- ☆19Updated 6 years ago
- HSML for ICML 2019☆51Updated 5 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆62Updated 2 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆36Updated 5 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
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆59Updated 6 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆23Updated 5 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 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
- ☆50Updated last year
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 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 last year
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆42Updated 2 years ago
- ☆15Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ☆121Updated 9 months ago
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- ZOSVRG-BlackBox-Adv☆11Updated 6 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆57Updated 5 years ago