Paul Vicol

According to our database, Paul Vicol authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet

CoRR, 2023

Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single.

Paul Vicol, Zico Kolter, Kevin Swersky

CoRR, 2023

Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single.

Paul Vicol

Proceedings of the International Conference on Machine Learning, 2023

2022

Amortized Proximal Optimization.

Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract).

Paul Vicol, Luke Metz, Jascha Sohl-Dickstein

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On Implicit Bias in Overparameterized Bilevel Optimization.

Paul Vicol, Jonathan P. Lorraine, Fabian Pedregosa, David Duvenaud, Roger B. Grosse

Proceedings of the International Conference on Machine Learning, 2022

Disentanglement and Generalization Under Correlation Shifts.

Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge

Proceedings of the Conference on Lifelong Learning Agents, 2022

Lyapunov Exponents for Diversity in Differentiable Games.

Jonathan Lorraine, Paul Vicol, Jack Parker-Holder, Tal Kachman, Luke Metz, Jakob N. Foerster

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Complex Momentum for Optimization in Games.

Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Complex Momentum for Learning in Games.

Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud

CoRR, 2021

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies.

Paul Vicol, Luke Metz, Jascha Sohl-Dickstein

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks.

Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Optimizing Millions of Hyperparameters by Implicit Differentiation.

Jonathan Lorraine, Paul Vicol, David Duvenaud

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions.

Matthew MacKay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Reversible Recurrent Neural Networks.

Matthew MacKay, Paul Vicol, Jimmy Ba, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.

Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel

Proceedings of the 35th International Conference on Machine Learning, 2018

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches.

Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger B. Grosse

Proceedings of the 6th International Conference on Learning Representations, 2018

MovieGraphs: Towards Understanding Human-Centric Situations From Videos.

Paul Vicol, Makarand Tapaswi, Lluís Castrejón, Sanja Fidler

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

A Minimization-Based Approach to Iterated Multi-Agent Belief Change.

Paul Vicol, James P. Delgrande, Torsten Schaub

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

An Implementation of Consistency-Based Multi-agent Belief Change Using ASP.

Paul Vicol, James P. Delgrande, Torsten Schaub

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015