Evan Archer

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 4

Top Topics

Variational Inference

Kullback Leibler Distance

Super Resolution

Reinforcement Learning Agents

Top Venues

J. Mach. Learn. Res.

Publications

James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS (2022)
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR (2022)
Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. CoRR (2017)
Ruoxi Sun, Evan Archer, Liam Paninski
Scalable Variational Inference for Super Resolution Microscopy. AISTATS (2017)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian entropy estimation for countable discrete distributions. J. Mach. Learn. Res. 15 (1) (2014)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian Entropy Estimation for Countable Discrete Distributions CoRR (2013)
Il Memming Park, Evan Archer, Nicholas Priebe, Jonathan W. Pillow
Spectral methods for neural characterization using generalized quadratic models. NIPS (2013)
Il Memming Park, Evan Archer, Kenneth W. Latimer, Jonathan W. Pillow
Universal models for binary spike patterns using centered Dirichlet processes. NIPS (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data. Entropy 15 (5) (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian entropy estimation for binary spike train data using parametric prior knowledge. NIPS (2013)
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. NIPS (2012)