Add a few more recent references using BoTorch to the docs (#1022)

Summary:
There are at least 7 at this year's NeurIPS, not sure I got all of them.

Pull Request resolved: #1022

Reviewed By: eytan

Differential Revision: D32942709

Pulled By: Balandat

fbshipit-source-id: 65634d302d3bb498cc1bd2db02b5fb77203d29aa

docs/papers.md

@@ -28,3 +28,13 @@ Here is an incomplete selection of peer-reviewed Bayesian optimization papers th
 - [Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization](https://proceedings.neurips.cc/paper/2020/hash/10fb6cfa4c990d2bad5ddef4f70e8ba2-Abstract.html). Ben Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy. NeurIPS 2020.
 - [PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
 ](https://arxiv.org/abs/2007.11752). Ting-Wu Chin, Ari S. Morcos, Diana Marculescu. ICML 2020 Workshop on Real World Experiment Design and Active Learning.
+- [High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
+](https://arxiv.org/abs/2103.00349). David Eriksson, Martin Jankowiak. UAI 2021.
+- [Bayesian Optimization over Permutation Spaces](https://arxiv.org/abs/2112.01049). Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim. AAAI 2021.
+- [Bayesian Optimization with High-Dimensional Outputs](https://papers.nips.cc/paper/2021/hash/a0d3973ad100ad83a64c304bb58677dd-Abstract.html). Wesley J. Maddox, Maximilian Balandat, Andrew G. Wilson, Eytan Bakshy. NeurIPS 2021.
+- [Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement](https://papers.nips.cc/paper/2021/hash/11704817e347269b7254e744b5e22dac-Abstract.html). Samuel Daulton, Maximilian Balandat, Eytan Bakshy. NeurIPS 2021.
+- [Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces](https://papers.nips.cc/paper/2021/hash/44e76e99b5e194377e955b13fb12f630-Abstract.html). Aryan Deshwal, Jana Doppa. NeurIPS 2021.
+- [Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs](https://papers.nips.cc/paper/2021/hash/a8ecbabae151abacba7dbde04f761c37-Abstract.html). Raul Astudillo, Daniel Jiang, Maximilian Balandat, Eytan Bakshy, Peter Frazier. NeurIPS 2021.
+- [Bayesian Optimization of Function Networks](https://papers.nips.cc/paper/2021/hash/792c7b5aae4a79e78aaeda80516ae2ac-Abstract.html). Raul Astudillo, Peter Frazier. NeurIPS 2021.
+- [Improving black-box optimization in VAE latent space using decoder uncertainty](https://papers.nips.cc/paper/2021/hash/06fe1c234519f6812fc4c1baae25d6af-Abstract.html). Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal. NeurIPS 2021
+- [Risk-averse Heteroscedastic Bayesian Optimization](https://papers.nips.cc/paper/2021/hash/8f97d1d7e02158a83ceb2c14ff5372cd-Abstract.html). Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause. NeurIPS 2021.