Russell Greiner
26 papers · 2006–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(22)
π
Cross-Pollinator
(9)
π§
Keyword Pioneer
π
Triple Crown
π
Keyword Champion
π₯
Mega-Team
(31)
π±
Topic Pioneer
π
Trend Setter
π
Conference Pioneer
π
Century Club
(26)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (8)
ICML (6)
IJCAI (3)
AISTATS (2)
ICLR (2)
JMLR (2)
ACL (1)
COLING (1)
UAI (1)
Top co-authors
Keywords
survival analysis
(5)
domain adaptation
(4)
message passing
(3)
patient-specific prediction
(2)
constraint satisfaction problem
(2)
combinatorial optimization
(2)
message passing algorithm
(2)
survival prediction
(2)
individual survival distribution
(2)
censored datum
(2)
factor graph
(2)
image classification
(1)
transfer learning
(1)
model misspecification
(1)
multi-source learning
(1)
representation learning
(1)
causal inference
(1)
conformal prediction
(1)
constraint optimization
(1)
online learning
(1)
Papers
Extendable and Iterative Structure Learning Strategy for Bayesian Networks
ICLR 2025
Toward Conditional Distribution Calibration in Survival Prediction
NIPS 2024
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
ICML 2024
MassSpecGym: A benchmark for the discovery and identification of molecules
NIPS 2024
Copula-based deep survival models for dependent censoring
UAI 2023
An Effective Meaningful Way to Evaluate Survival Models
ICML 2023
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
AISTATS 2021
Learning Disentangled Representations for CounterFactual Regression
ICLR 2020
Shared Space Transfer Learning for analyzing multi-site fMRI data
NIPS 2020
Effective Ways to Build and Evaluate Individual Survival Distributions
JMLR 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation
ICML 2020
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
NIPS 2019
CounterFactual Regression with Importance Sampling Weights
IJCAI 2019
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
IJCAI 2019
Boolean Matrix Factorization and Noisy Completion via Message Passing
ICML 2016
Stochastic Neural Networks with Monotonic Activation Functions
AISTATS 2016
Perturbed Message Passing for Constraint Satisfaction Problems
JMLR 2015
Correcting Covariate Shift with the Frank-Wolfe Algorithm
IJCAI 2015
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
ICML 2014
Min-Max Problems on Factor Graphs
ICML 2014
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
NIPS 2014
Online Learning with Costly Features and Labels
NIPS 2013
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
NIPS 2011
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
ACL 2006
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
NIPS 2006
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
COLING 2006