Evan Archer

11 papers A* 1A 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2022 A* conf
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
NeurIPS
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022 J jnl
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
CoRR
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2017 J jnl
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
CoRR
Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke
2017 A conf
Scalable Variational Inference for Super Resolution Microscopy.
AISTATS
Ruoxi Sun, Evan Archer, Liam Paninski
2014 J jnl
Bayesian entropy estimation for countable discrete distributions.
J. Mach. Learn. Res.
Evan Archer, Il Memming Park, Jonathan W. Pillow
2013 J jnl
Bayesian Entropy Estimation for Countable Discrete Distributions
CoRR
Evan Archer, Il Memming Park, Jonathan W. Pillow
2013 J jnl
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data.
Entropy
Evan Archer, Il Memming Park, Jonathan W. Pillow
2013 — conf
Bayesian entropy estimation for binary spike train data using parametric prior knowledge.
NIPS
Evan Archer, Il Memming Park, Jonathan W. Pillow
2013 — conf
Spectral methods for neural characterization using generalized quadratic models.
NIPS
Il Memming Park, Evan Archer, Nicholas Priebe, Jonathan W. Pillow
2013 — conf
Universal models for binary spike patterns using centered Dirichlet processes.
NIPS
Il Memming Park, Evan Archer, Kenneth W. Latimer, Jonathan W. Pillow
2012 — conf
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors.
NIPS
Evan Archer, Il Memming Park, Jonathan W. Pillow