Porter Jenkins
6 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Keywords
neural network
(2)
policy evaluation
(1)
offline reinforcement learning
(1)
policy optimization
(1)
bayesian inference
(1)
epistemic uncertainty
(1)
likelihood-free inference
(1)
point cloud
(1)
3d scene understanding
(1)
model-based reinforcement learning
(1)
gradient optimization
(1)
occlusion handling
(1)
object counting
(1)
domain knowledge
(1)
approximate bayesian computation
(1)
weak learner
(1)
inductive bia
(1)
energy-based model
(1)
utility function
(1)
uncertainty estimation
(1)
Papers
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
ICML 2025
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
AAAI 2024
CountNet3D: A 3D Computer Vision Approach To Infer Counts of Occluded Objects
WACV 2023
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
AAAI 2022
Knowledge-based Residual Learning
IJCAI 2021
Neural Utility Functions
AAAI 2021