Samuel Stanton

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Gaussian Processes

Top Venues

Publications

Samuel Stanton, Robert Alberstein, Nathan C. Frey, Andrew M. Watkins, Kyunghyun Cho
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms. CoRR (2024)
Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). CoRR (2024)
Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
Protein Design with Guided Discrete Diffusion. NeurIPS (2023)
Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
Protein Design with Guided Discrete Diffusion. CoRR (2023)
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS (2023)
Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson
Bayesian Optimization with Conformal Prediction Sets. AISTATS (2023)
Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR (2022)
Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson
Bayesian Optimization with Conformal Coverage Guarantees. CoRR (2022)
Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. ICML (2022)
Nate Gruver, Marc Finzi, Samuel Stanton, Andrew Gordon Wilson
Deconstructing the Inductive Biases of Hamiltonian Neural Networks. CoRR (2022)
Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. CoRR (2022)
Samuel Stanton, Wesley Maddox, Ian A. Delbridge, Andrew Gordon Wilson
Kernel Interpolation for Scalable Online Gaussian Processes. AISTATS (2021)
Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson
Conditioning Sparse Variational Gaussian Processes for Online Decision-making. CoRR (2021)
Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson
Does Knowledge Distillation Really Work? CoRR (2021)
Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson
Conditioning Sparse Variational Gaussian Processes for Online Decision-making. NeurIPS (2021)
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
On the model-based stochastic value gradient for continuous reinforcement learning. L4DC (2021)
Samuel Stanton, Wesley J. Maddox, Ian A. Delbridge, Andrew Gordon Wilson
Kernel Interpolation for Scalable Online Gaussian Processes. CoRR (2021)
Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson
Does Knowledge Distillation Really Work? NeurIPS (2021)
Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. ICML (2020)
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
On the model-based stochastic value gradient for continuous reinforcement learning. CoRR (2020)
Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. CoRR (2020)