watsona4 / dot_julia
☆9Updated last year
Related projects: ⓘ
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆31Updated 5 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆10Updated 2 years ago
- ☆11Updated 3 years ago
- ☆38Updated last year
- Time-varying Autoregression with Low Rank Tensors☆14Updated 3 years ago
- The MATLAB source code☆16Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- Proximal Newton OPTimizer☆21Updated 9 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 2 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆20Updated 5 years ago
- energy management codes developed in the past☆17Updated 2 years ago
- Generic and efficient MATLAB solver for nonsmooth optimization problems☆26Updated 5 years ago
- ☆16Updated 2 years ago
- tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.☆12Updated last year
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆11Updated 11 months ago
- Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"☆13Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Data-driven decision making under uncertainty using matrices☆31Updated last month
- code for "Neural Jump Ordinary Differential Equations"☆27Updated last year
- This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient …☆10Updated last year
- A MATLAB software for convex quadratic semidefinite programming☆12Updated 3 years ago
- Code for "Automatic repair of convex optimization problems".☆14Updated 4 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆13Updated last year
- Accompanying code for our NeurIPS 2019 paper☆12Updated 4 years ago
- Bayesian System IDentification☆26Updated 6 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 3 years ago
- Matlab/Octave toolbox for nonconvex optimization☆49Updated 8 years ago
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Updated 4 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated last year
- Code for the paper "Estimating Transfer Entropy via Copula Entropy"☆39Updated last year