Paul Vicol

According to our database1, Paul Vicol authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
Directly Fine-Tuning Diffusion Models on Differentiable Rewards.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single.
CoRR, 2023

Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single.
Proceedings of the International Conference on Machine Learning, 2023

2022
Amortized Proximal Optimization.
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).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On Implicit Bias in Overparameterized Bilevel Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Disentanglement and Generalization Under Correlation Shifts.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Lyapunov Exponents for Diversity in Differentiable Games.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Complex Momentum for Optimization in Games.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Complex Momentum for Learning in Games.
CoRR, 2021

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies.
Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Optimizing Millions of Hyperparameters by Implicit Differentiation.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Reversible Recurrent Neural Networks.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches.
Proceedings of the 6th International Conference on Learning Representations, 2018

MovieGraphs: Towards Understanding Human-Centric Situations From Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
A Minimization-Based Approach to Iterated Multi-Agent Belief Change.
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.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015


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