Tim Pearce
10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🏆
Grand Slam
🗃️
Keyword Collector
(57)
💎
Century Club
(10)
🔥
Unstoppable
(8)
🚀
Conference Pioneer
Conferences
NIPS (3)
AAAI (2)
ICML (2)
AISTATS (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
reinforcement learning
(3)
kernel methods
(2)
ensemble method
(2)
policy optimization
(2)
uncertainty quantification
(2)
gaussian process
(2)
bayesian neural network
(2)
prior knowledge
(1)
imitation learning
(1)
sample efficiency
(1)
policy learning
(1)
model uncertainty
(1)
probabilistic inference
(1)
approximate inference
(1)
survival analysis
(1)
bayesian inference
(1)
model-based reinforcement learning
(1)
reward function
(1)
kernel combination
(1)
quantile regression
(1)
Papers
Scaling Laws for Pre-training Agents and World Models
ICML 2025
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari
NIPS 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
Imitating Human Behaviour with Diffusion Models
ICLR 2023
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
NIPS 2022
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
AISTATS 2020
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
ICML 2018