Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
☆26Dec 3, 2020Updated 5 years ago
Alternatives and similar repositories for Replica_Exchange_Stochastic_Gradient_MCMC
Users that are interested in Replica_Exchange_Stochastic_Gradient_MCMC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42May 20, 2022Updated 4 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20May 1, 2021Updated 5 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆25May 3, 2019Updated 7 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 2017Updated 9 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34May 8, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆12Sep 25, 2023Updated 2 years ago
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 years ago
- Graduated Nonconvexity and Adaptive Robust loss algorithm☆14Mar 14, 2024Updated 2 years ago
- ☆11Jul 21, 2023Updated 3 years ago
- Adaptive gradient descent without descent☆53Oct 12, 2021Updated 4 years ago
- Friday Forecasting Talks materials☆11May 24, 2024Updated 2 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 7 years ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Mar 20, 2021Updated 5 years ago
- ☆14Aug 17, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Coordinate Descent Fuzzy Twin Support Vector Machine for Classification☆11Jan 13, 2018Updated 8 years ago
- Python code for SGMCMC for Time Series SSMs☆15Apr 21, 2021Updated 5 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- ☆13Feb 2, 2022Updated 4 years ago
- POMDP wrappers for OpenAI Gym☆15Nov 4, 2019Updated 6 years ago
- Code repository for Particle Denoising Diffusion Sampler☆15Apr 2, 2024Updated 2 years ago
- The performance of turbo equalizers in both ISI channel and multipath fading channel is evaluated☆12Nov 24, 2020Updated 5 years ago
- Official implementation of Progressive Tempering Sampler with Diffusion (ICML 2025)☆16Aug 16, 2025Updated last year
- SING: SDE Inference via Natural Gradients☆41May 5, 2026Updated 3 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆13May 27, 2025Updated last year
- Conditional time series forecasting with convolutional neural networks☆12Jan 3, 2021Updated 5 years ago
- ☆28Sep 3, 2019Updated 6 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- ☆18Feb 13, 2023Updated 3 years ago
- ☆14Feb 23, 2025Updated last year
- We introduce UltraLLaDA , a scaled variant of LLaDA-8B-Base that extends the context length up to 128K tokens with light-weight post-trai…☆15Oct 23, 2025Updated 10 months ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Nov 5, 2020Updated 5 years ago
- Nonconvex Regularized Robust Regression via I-LAMM Algorithm☆13May 9, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- dUltra: Ultra-Fast Diffusion Large Language Models via Reinforcement Learning☆17Jul 11, 2026Updated last month
- Refresh algorithms using C++ and Python☆14Aug 21, 2022Updated 4 years ago
- A Python framework for the quantitative evaluation of eXplainable AI methods☆18Mar 29, 2023Updated 3 years ago
- ☆21Nov 19, 2021Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆111Apr 19, 2024Updated 2 years ago
- ☆11Jun 2, 2021Updated 5 years ago
- Initial Commit☆20Dec 1, 2020Updated 5 years ago