Andrew Warrington
7 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Mathematics
(2)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Keywords
state space model
(2)
variational inference
(2)
imitation learning
(1)
bayesian inference
(1)
policy gradient
(1)
parameter estimation
(1)
conditional generation
(1)
parallel evaluation
(1)
computational efficiency
(1)
tensor decomposition
(1)
monte carlo estimation
(1)
parallel computing
(1)
sequential monte carlo
(1)
density ratio estimation
(1)
bayesian experimental design
(1)
policy learning
(1)
smoothing distribution
(1)
hidden markov model
(1)
probabilistic model
(1)
sequence modeling
(1)
Papers
Towards Scalable and Stable Parallelization of Nonlinear RNNs
NeurIPS 2024
Simplified State Space Layers for Sequence Modeling
ICLR 2023
Switching Autoregressive Low-rank Tensor Models
NeurIPS 2023
SIXO: Smoothing Inference with Twisted Objectives
NeurIPS 2022
Robust Asymmetric Learning in POMDPs
ICML 2021
Coping With Simulators That Don’t Always Return
AISTATS 2020
On Nesting Monte Carlo Estimators
ICML 2018