aryandeshwal
Follow
Lists (1)
Stars
This is the official implementation of the paper "Learning Surrogates for Offline Black-Box Optimization via Gradient Matching" published in ICML 2024
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Official repository of "Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions," which has been presented at ICLR 2024
[NeurIPS '23] Bayesian Optimisation of Functions on Graphs
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Open source version of ArchGym project.
A Library for Gaussian Processes in Chemistry
(GECCO2023 Best Paper Nomination) CMA-ES with Learning Rate Adaptation
This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier, Luigi Nardi, and Matthias Poloczek)
Simple, but essential Bayesian optimization package
An offline deep reinforcement learning library
Benchmark functions for Bayesian optimization
A template for small scientific python projects
NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)
Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
Python implementation of the supervised graph prediction method proposed in http:https://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, Oral)
[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces