Gregory W. Benton

12 papers A* 5Journal 7

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Bayesian Model Selection, the Marginal Likelihood, and Generalization. ICML Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson
2022	J	`jnl`	Bayesian Model Selection, the Marginal Likelihood, and Generalization. CoRR Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, 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`	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`	Residual Pathway Priors for Soft Equivariance Constraints. CoRR Marc Finzi, Gregory W. Benton, Andrew Gordon Wilson
2020	A*	`conf`	Learning Invariances in Neural Networks from Training Data. NeurIPS Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
2020	J	`jnl`	Learning Invariances in Neural Networks. CoRR Gregory W. Benton, Marc Finzi, Pavel Izmailov, 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
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