Efficient Online Bayesian Inference for Neural Bandits

Last update: Dec 27, 2022

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Overview

Efficient Online Bayesian Inference for Neural Bandits

By Gerardo Durán-Martín, Aleyna Kara, and Kevin Murphy
AISTATS 2022. https://arxiv.org/abs/2112.00195

Installation

pip install fire
pip install ml-collections

Reproduce the results

There are two ways to reproduce the results from the paper

Run the scripts

To reproduce the results, cd into the project folder and run

python bandits test

python bandits run_and_plot

Step by step

If you only want to reproduce the results, run

python bandits run_experiments

If you have previously reproduced the results and want to reproduce the plots, run

python bandits plot_experiments

The results will be stored inside bandits/figures/.

Execute the notebooks

An alternative way to reproduce the results is to simply open and run subspace_bandits.ipynb

Owner

Probabilistic machine learning

Material to accompany the book "Machine Learning: A Probabilistic Perspective" (Software, Data, Exercises, Figures, etc)

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Efficient Online Bayesian Inference for Neural Bandits

Related tags

Overview

Efficient Online Bayesian Inference for Neural Bandits

Installation

Reproduce the results

Run the scripts

Step by step

Execute the notebooks

Owner

Probabilistic machine learning

Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"

This repository is a series of notebooks that show solutions for the projects at Dataquest.io.

Official implementation of VaxNeRF (Voxel-Accelearated NeRF).

For holding anime-related object classification and detection models

This repository contains the code for: RerrFact model for SciVer shared task

Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

Negative Interactions for Improved Collaborative Filtering:

ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton (AAAI 2022)

Open source implementation of AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

Anonymous implementation of KSL

A faster pytorch implementation of faster r-cnn

Spontaneous Facial Micro Expression Recognition using 3D Spatio-Temporal Convolutional Neural Networks

Multi-robot collaborative exploration and mapping through Voronoi partition and DRL in unknown environment

Unofficial implementation of Proxy Anchor Loss for Deep Metric Learning

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

ADGAN - The Implementation of paper Controllable Person Image Synthesis with Attribute-Decomposed GAN

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