Wesley J. Maddox

31 papers A* 8A 5Journal 18

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Bayesian Optimization with Conformal Prediction Sets. AISTATS Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson
2023	J	`jnl`	Materials Expert-Artificial Intelligence for Materials Discovery. CoRR Yanjun Liu, Milena Jovanovic, Krishnanand Mallayya, Wesley J. Maddox, Andrew Gordon Wilson, Sebastian Klemenz, Leslie M. Schoop, Eun-Ah Kim
2022	A*	`conf`	Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. ICML Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip M. Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
2022	J	`jnl`	Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. CoRR Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip M. Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
2022	J	`jnl`	Bayesian Optimization with Conformal Coverage Guarantees. CoRR Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson
2022	J	`jnl`	Low-Precision Arithmetic for Fast Gaussian Processes. CoRR Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson
2022	A	`conf`	Low-precision arithmetic for fast Gaussian processes. UAI Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson
2022	A*	`conf`	On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification. NeurIPS Sanyam Kapoor, Wesley J. Maddox, Pavel Izmailov, Andrew Gordon Wilson
2022	J	`jnl`	On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification. CoRR Sanyam Kapoor, Wesley J. Maddox, Pavel Izmailov, Andrew Gordon Wilson
2022	A*	`conf`	Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes. ICML Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson
2022	J	`jnl`	Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes. CoRR Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson
2021	A*	`conf`	Bayesian Optimization with High-Dimensional Outputs. NeurIPS Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy
2021	J	`jnl`	Bayesian Optimization with High-Dimensional Outputs. CoRR Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy
2021	A*	`conf`	Conditioning Sparse Variational Gaussian Processes for Online Decision-making. NeurIPS Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson
2021	J	`jnl`	Conditioning Sparse Variational Gaussian Processes for Online Decision-making. CoRR Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson
2021	A	`conf`	Fast Adaptation with Linearized Neural Networks. AISTATS Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou
2021	J	`jnl`	Fast Adaptation with Linearized Neural Networks. CoRR Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou
2021	A	`conf`	Kernel Interpolation for Scalable Online Gaussian Processes. AISTATS Samuel Stanton, Wesley J. Maddox, Ian A. Delbridge, Andrew Gordon Wilson
2021	J	`jnl`	Kernel Interpolation for Scalable Online Gaussian Processes. CoRR Samuel Stanton, Wesley J. Maddox, Ian A. Delbridge, Andrew Gordon Wilson
2021	A*	`conf`	Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling. ICML Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson
2021	J	`jnl`	Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling. CoRR Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson
2021	J	`jnl`	Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization. CoRR Wesley J. Maddox, Qing Feng, Maximilian Balandat
2021	J	`jnl`	When are Iterative Gaussian Processes Reliably Accurate? CoRR Wesley J. Maddox, Sanyam Kapoor, Andrew Gordon Wilson
2020	J	`jnl`	Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited. CoRR Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson
2020	J	`jnl`	Similarity of Neural Networks with Gradients. CoRR Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou
2019	A*	`conf`	A Simple Baseline for Bayesian Uncertainty in Deep Learning. NeurIPS Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	A Simple Baseline for Bayesian Uncertainty in Deep Learning. CoRR Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	A*	`conf`	Function-Space Distributions over Kernels. NeurIPS Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson
2019	J	`jnl`	Function-Space Distributions over Kernels. CoRR Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson
2019	A	`conf`	Subspace Inference for Bayesian Deep Learning. UAI Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	Subspace Inference for Bayesian Deep Learning. CoRR Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson