Paul Vicol
15 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Triple Crown
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Deep Learning
(8)
Artificial Intelligence
(5)
Application Areas
(4)
Learning Paradigms
(3)
Models
(3)
Techniques
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization
(2)
Keywords
hyperparameter optimization
(4)
evolution strategy
(3)
gradient-based optimization
(2)
learned optimizer
(2)
gradient estimation
(2)
bilevel optimization
(2)
bayesian neural network
(2)
generative adversarial network
(2)
variance reduction
(2)
unrolled computation graph
(2)
gradient descent
(2)
scene graph
(1)
social intelligence
(1)
graph representation
(1)
text-to-image generation
(1)
scene understanding
(1)
stochastic gradient descent
(1)
video understanding
(1)
weight perturbation
(1)
data augmentation
(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
NeurIPS 2022
Complex Momentum for Optimization in Games
AISTATS 2022
On Implicit Bias in Overparameterized Bilevel Optimization
ICML 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract)
IJCAI 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
ICML 2021
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
AISTATS 2021
Optimizing Millions of Hyperparameters by Implicit Differentiation
AISTATS 2020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
ICLR 2019
Adversarial Distillation of Bayesian Neural Network Posteriors
ICML 2018
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
NeurIPS 2018