← Authors

Russell Greiner

26 papers · 2006–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) πŸ—ΊοΈ Taxonomy Completionist (22) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ‘₯ Mega-Team (31) 🌱 Topic Pioneer πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (26) πŸ—ƒοΈ 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

Dale Schuurmans (6) Siamak Ravanbakhsh (5) Junfeng Wen (3) Chi-hoon Lee (3) Shaojun Wang (3) Shi-ang Qi (3) Feng Jiao (3) BarnabΓ‘s PΓ³czos (2) Negar Hassanpour (2) Chun-Nam Yu (2)

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