luigicarratino / batch-bkb

Related projects: ⓘ

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last month
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆20Updated 3 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆26Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆54Updated 3 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 5 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 9 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆28Updated last year
• hughsalimbeni / DGPs_with_IWVI
  Deep Gaussian Processes with Importance-Weighted Variational Inference
  ☆38Updated 5 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 5 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated last year
• LCSL / bless
  Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA
  ☆15Updated 10 months ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated 7 months ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆26Updated 3 years ago
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆25Updated 7 months ago
• duvenaud / additive-gps
  Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.
  ☆21Updated 10 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 5 years ago
• oxcsml / constrained-diffusion
  ☆13Updated last year
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 4 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated last year
• QUVA-Lab / COMBO
  ☆45Updated last month
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 6 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆40Updated last year
• pgermain / PAC-Bayesian-Theory-Meets-Bayesian-Inference
  Code to related to my NIPS 2016 paper
  ☆10Updated 7 years ago
• ChangYong-Oh / HyperSphere
  ☆16Updated 5 years ago
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆11Updated last year
• vr308 / GPLVM
  Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch
  ☆15Updated 3 years ago