Matthew Smith
5 papers · 2010–2020 · 3 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 ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Interdisciplinary
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Methods
(2)
Optimization & Theory
(2)
Science
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Cognitive Science
(1)
Learning Types
(1)
Keywords
visual cortex
(2)
factor analysis
(1)
dimensionality reduction
(1)
sample efficiency
(1)
policy gradient
(1)
feature embedding
(1)
covariance estimation
(1)
hierarchical reinforcement learning
(1)
primary visual cortex
(1)
l1 regularization
(1)
point process
(1)
sparse regularization
(1)
neuronal responses
(1)
firing rate estimation
(1)
off-policy learning
(1)
neural population
(1)
v1 neurons
(1)
temporal abstraction
(1)
interaction detection
(1)
latent variable model
(1)
Papers
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
NeurIPS 2020
An Inference-Based Policy Gradient Method for Learning Options
ICML 2018
Adaptive stimulus selection for optimizing neural population responses
NeurIPS 2017
Distance Covariance Analysis
AISTATS 2017
Accounting for network effects in neuronal responses using L1 regularized point process models
NeurIPS 2010