← Authors

Paul Vicol

15 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (30) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (7) πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (15) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (68)

Conferences

ICML (4) AISTATS (3) ICLR (3) CVPR (2) NIPS (2) IJCAI (1)

Top co-authors

David Duvenaud (4) Roger Grosse (4) Roger B Grosse (3) Kuan-Chieh Wang (2) Luke Metz (2) Matthew MacKay (2) Jascha Sohl-dickstein (2) Jonathan Lorraine (2) Jimmy Ba (2) Makarand Tapaswi (1)

Keywords

hyperparameter optimization (3) learned optimizer (2) evolution strategy (2) generative adversarial network (2) gradient estimation (2) unrolled computation graph (2) gradient-based optimization (1) social intelligence (1) stochastic gradient descent (1) text-to-image generation (1) video understanding (1) scene graph (1) graph representation (1) scene understanding (1) variance reduction (1) data augmentation (1) gradient descent (1) gradient computation (1) implicit differentiation (1) posterior distribution (1)

Papers

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation CVPR 2025
Directly Fine-Tuning Diffusion Models on Differentiable Rewards ICLR 2024
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023
Amortized Proximal Optimization NIPS 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract) IJCAI 2022
On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022
Complex Momentum for Optimization in Games AISTATS 2022
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks AISTATS 2021
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions ICLR 2019
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018
MovieGraphs: Towards Understanding Human-Centric Situations From Videos CVPR 2018
Reversible Recurrent Neural Networks NIPS 2018
Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018