Seth Flaxman
10 papers · 2015–2024 · 6 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 ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🧬
Topic Evolution
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Artificial Intelligence
(5)
Mathematics & Optimization
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Optimization
(5)
Healthcare & Medicine
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Clinical
(1)
Learning Paradigms
(1)
Keywords
gaussian process
(7)
bayesian inference
(3)
markov chain monte carlo
(3)
variational inference
(2)
uncertainty quantification
(2)
laplace approximation
(1)
time series
(1)
reproducing kernel hilbert space
(1)
nonparametric estimation
(1)
sparse approximation
(1)
poisson process
(1)
conjugate gradient
(1)
spatial statistics
(1)
numerical integration
(1)
bayesian quadrature
(1)
riemannian manifold
(1)
surrogate model
(1)
numerical stability
(1)
tree-based model
(1)
cox process
(1)
Papers
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
AAAI 2023
Gaussian process nowcasting: application to COVID-19 mortality reporting
UAI 2021
Bayesian Probabilistic Numerical Integration with Tree-Based Models
NeurIPS 2020
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
AISTATS 2018
Bayesian Approaches to Distribution Regression
AISTATS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes
NeurIPS 2018
Poisson intensity estimation with reproducing kernels
AISTATS 2017
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
AISTATS 2016
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
ICML 2015