Fix hyperlink for NeuralKernelBandits

Author: AnanyaRaval

README.md

@@ -9,5 +9,6 @@
 | [Computer_Vision_Project](https://github.com/VectorInstitute/Computer_Vision_Project) | This repository tackles different problems such as defect detection, footprint extraction, road obstacle detection, traffic incident detection, and segmentation of medical procedures. | Semantic segmentation using Unet, Unet++, FCN, DeepLabv3; Anomaly segmentation | 11 | images, videos |
 | [Privacy Enhancing Technologies](https://github.com/VectorInstitute/Computer_Vision_Project) | This repository contains demos for Privacy, Homomorphic Encryption, Horizontal and Vertical Federated Learning, MIA, and PATE | Vanilla SGD, DP SGD, DP Logistic Regression, Homomorphic Encryption for MLP, Horizontal FL, Horizontal FL on MLP, Membership Inference Attacks (MIA) using DP, MIA using SAM, PATE, Vertical FL. | 9 | tabular, images |
 | [SSGVQAP](https://github.com/VectorInstitute/SSGVQAP) | This repository contains code for the paper [A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature](https://aclanthology.org/2020.sdp-1.4/) which was accepted ibn ACL'20. Authors are Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi. | An Active Learning Strategy for Data Selection, AL-Uncertainty, AL-Clustering | 1 | tabular |
-| [NeuralKernelBandits](https://github.com/VectorInstitute/SSGVQAP) | This repository contains code for the paper [An Empirical Study of Neural Kernel Bandits](https://arxiv.org/abs/2111.03543) which was accepted in Neurips'21. Authors are Lisicki, Michal, Arash Afkanpour, and Graham W. Taylor. | Neural tangent kernel, Conjugate kernel, NNGP, Deep ensembles, Randomized Priors, NTKGP, Upper Confidence Bounds (UCB), Thompson Sampling (TS) | 7 | tabular |
-| [foodprice-forecasting](https://github.com/VectorInstitute/foodprice-forecasting) | This repository replicates the experiments described on pages 16 and 17 of the [2022 Edition of Canada's Food Price Report](https://www.dal.ca/sites/agri-food/research/canada-s-food-price-report-2022.html). | Time series forecasting using Prophet,  Time series forecasting using Neural prophet, Interpretable time series forecasting using N-BEATS, Ensemble of the above methods. | 3 | tabular |
+| [NeuralKernelBandits](https://github.com/VectorInstitute/NeuralKernelBandits) | This repository contains code for the paper [An Empirical Study of Neural Kernel Bandits](https://arxiv.org/abs/2111.03543) which was accepted in Neurips'21. Authors are Lisicki, Michal, Arash Afkanpour, and Graham W. Taylor. | Neural tangent kernel, Conjugate kernel, NNGP, Deep ensembles, Randomized Priors, NTKGP, Upper Confidence Bounds (UCB), Thompson Sampling (TS) | 7 | tabular |
+| [foodprice-forecasting](https://github.com/VectorInstitute/foodprice-forecasting) | This repository replicates the experiments described on pages 16 and 17 of the [2022 Edition of Canada's Food Price Report](https://www.dal.ca/sites/agri-food/research/canada-s-food-price-report-2022.html). | Time series forecasting using Prophet,  Time series forecasting using Neural prophet, Interpretable time series forecasting using N-BEATS, Ensemble of the above methods. | 3 | tabular |
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