GitHub / gutmanngroup 1 repository

Repositories by the Gutmann machine learning group @ The University of Edinburgh.

• Repositories 1
• Sort

  • Recently Pushed
  • Stars
  • Forks

gutmanngroup/VNCE Fork of benrhodes26/VNCE

Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf

Size: 79.8 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

gutmanngroup/idad Fork of desi-ivanova/idad

Python code for "Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods", NeurIPS, 2021, https://proceedings.neurips.cc/paper/2021/hash/d811406316b669ad3d370d78b51b1d2e-Abstract.html

Size: 72.3 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

gutmanngroup/neural-approx-ss-lfi Fork of cyz-ai/neural-approx-ss-lfi

Python code "Neural Approximate Sufficient Statistics for Implicit Models", ICLR 2021, https://openreview.net/forum?id=SRDuJssQud

Size: 6.49 MB - Last synced: 9 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

gutmanngroup/seqbed Fork of stevenkleinegesse/seqbed

Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

Size: 22.5 KB - Last synced: 9 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

gutmanngroup/enhanced_discrete_gradient_mcmc Fork of benrhodes26/enhanced_discrete_gradient_mcmc

Python code for the paper “Enhanced gradient-based MCMC in discrete spaces”, TMLR 2022, https://openreview.net/forum?id=j2Mid5hFUJ

Size: 69.3 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

gutmanngroup/GradBED Fork of stevenkleinegesse/GradBED

Code for the paper "Gradient-Based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds" https://arxiv.org/abs/2105.04379

Size: 1.47 MB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

gutmanngroup/bedimplicit Fork of stevenkleinegesse/bedimplicit

Source code for "Efficient Bayesian Experimental Design for Implicit Models", AISTATS 2019, https://arxiv.org/abs/1810.09912

Size: 1.21 MB - Last synced: 9 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

gutmanngroup/tre_code Fork of benrhodes26/tre_code

Python code for the paper "Telescoping Density-Ratio Estimation", NeurIPS 2020

Size: 1.43 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

gutmanngroup/minebed Fork of stevenkleinegesse/minebed

Source code for Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation, ICML 2020, https://arxiv.org/abs/2002.08129

Size: 2.44 MB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

gutmanngroup/variational-gibbs-inference Fork of vsimkus/variational-gibbs-inference

Python code for the paper "Variational Gibbs inference for statistical estimation from incomplete data", https://arxiv.org/abs/2111.13180

Language: Python - Size: 677 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0