zhenxun-zhuang / SGDOL
Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"
☆10Updated 2 years ago
Alternatives and similar repositories for SGDOL:
Users that are interested in SGDOL are comparing it to the libraries listed below
- ☆14Updated 6 years ago
- The MATLAB source code☆16Updated 5 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆47Updated last year
- Non-convex optimization using proximal methods☆14Updated 7 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- ☆11Updated 5 years ago
- ☆30Updated last year
- Multi-agent active perception with prediction rewards☆11Updated 4 years ago
- An Open Source Deep Learning Framework for Solving Inverse Optimization Problem☆8Updated 5 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆16Updated 4 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆35Updated 5 years ago
- ☆9Updated 4 years ago
- ☆14Updated 10 months ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆17Updated 5 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- Solving POMDPs using exact and approximate methods☆13Updated 7 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆26Updated 6 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Autoregressive policies for continuous control reinforcement learning☆29Updated 5 years ago
- Implicit Distributional Actor Critic☆11Updated 3 years ago
- Codes for Stackelberg GAN☆13Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆15Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- ☆28Updated 5 years ago
- ☆14Updated last year