Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)

Last update: Nov 11, 2021

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Deep Learning BayesOpt-LV

Overview

BayesOpt-LV

Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)

About

This repository contains the source code for

ICML'21 paper: Value-at-Risk Optimization with Gaussian Processes
NeurIPS'21 paper: Optimizing Conditional Value-At-Risk of Black-Box Functions

Requirements

numpy
scipy
tensorflow 1.14.0
tensorflow-probability 0.7.0
gpflow 1.5.1

Instructions

The examples of running scripts are in running_scripts folder. The optimization results are stored in a folder named with the objective function in running_scripts. Objective functions are found in functions.py.

Owner

GitHub Repository

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Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)

Related tags

Overview

BayesOpt-LV

About

Requirements

Instructions

Owner

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

CUP-DNN is a deep neural network model used to predict tissues of origin for cancers of unknown of primary.

PyTorch implementation of Lip to Speech Synthesis with Visual Context Attentional GAN (NeurIPS2021)

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Image Captioning using CNN and Transformers

🌾 PASTIS 🌾 Panoptic Agricultural Satellite TIme Series

Learning Features with Parameter-Free Layers (ICLR 2022)

This porject is intented to build the most accurate model for predicting the porbability of loan default

The original implementation of TNDM used in the NeurIPS 2021 paper (no longer being updated)

Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic Scenes", ICCV 2021.

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Using Tensorflow Object Detection API to detect Waymo open dataset

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