walidk / AcceleratedMirrorDescent
☆11Updated 9 years ago
Alternatives and similar repositories for AcceleratedMirrorDescent:
Users that are interested in AcceleratedMirrorDescent are comparing it to the libraries listed below
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- Source files for our regularization paper!☆14Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆58Updated 2 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Additive Gaussian Process Bandits - version 1.0☆26Updated 8 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆12Updated 3 years ago
- Benchmark for bi-level optimization solvers☆39Updated 2 months ago
- ☆76Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Data sparse and non-parametric quantile regression☆10Updated 3 years ago
- ☆28Updated 5 years ago
- ☆42Updated 6 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago
- Differentiation through cone programs☆95Updated 2 months ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆34Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- A framework for Bayesian optimization of composite functions.☆14Updated 2 years ago
- Parallel Multi-Block ADMM with o(1/k) Convergence☆13Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- A CVXPY extension for convex-concave programming☆123Updated last year
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆12Updated last year
- ☆40Updated 5 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 7 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆28Updated 3 years ago