Add some recent papers built on botorch (#3161)

Summary:
bypass-github-export-checks

Pull Request resolved: #3161

Reviewed By: hvarfner

Differential Revision: D92238867

Pulled By: Balandat

fbshipit-source-id: f79d7d454f02894d935ae1c6b6e333e7e65fd5b9

Author: Balandat

docs/papers.md

@@ -18,6 +18,14 @@ The main reference for BoTorch is
 
 Here is an incomplete selection of peer-reviewed Bayesian optimization papers that build off of BoTorch:
 
+- [Ax: A Platform for Adaptive Experimentation](https://openreview.net/forum?id=U1f6wHtG1g). Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat. In AutoML 2025 ABCD Track, 2025.
+
+- [BoFire: Bayesian Optimization Framework Intended for Real Experiments](https://www.jmlr.org/papers/v26/24-1540.html). Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball,  Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei. Journal of Machine Learning Research, 2025.
+
+- [Best Practices for Multi-fidelity Bayesian Optimization in Materials and Molecular Research](https://www.nature.com/articles/s43588-025-00001-0). Víctor Sabanza-Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez, Jeremy S. Luterbacher, José Miguel Hernández-Lobato, Philippe Schwaller, Loïc Roch. Nature Computational Science 2025.
+
+- [Return of the Latent Space COWBOYS: Re-thinking the Use of VAEs for Bayesian Optimisation of Structured Spaces](https://arxiv.org/abs/2507.03910). Henry B. Moss, Sebastian W. Ober, Tom Diethe. ICML 2025.
+
 - [Robust Gaussian Processes via Relevance Pursuit](https://arxiv.org/abs/2410.24222). Sebastian Ament, David Eriksson, Elizabeth Santorella, Ben Letham, Max Balandat, Eytan Bakshy. NeurIPS 2024.
 
 - [Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes](https://arxiv.org/abs/2407.09739). Syrine Belakaria, Ben Letham, Janardhan R. Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy. NeurIPS 2024.