Matt J Kusner
11 papers · 2015–2023 · 1 venue · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🌟 Keyword Trendsetter Combo (3)
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Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(7)
❓
The Questioner
🗃️
Keyword Collector
(67)
Venues
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(6)
Core AI
(6)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Models
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Keywords
causal inference
(4)
counterfactual fairness
(2)
deep generative model
(2)
gradient-based optimization
(2)
treatment effect estimation
(2)
nearest neighbor
(1)
text classification
(1)
metric learning
(1)
distributed computing
(1)
loss landscape
(1)
fair classification
(1)
outlier detection
(1)
algorithmic fairness
(1)
document classification
(1)
batch selection
(1)
sharpness-aware minimization
(1)
bayesian optimization
(1)
learning rate decay
(1)
outlier handling
(1)
machine learning
(1)
Papers
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
NeurIPS 2023
Local Latent Space Bayesian Optimization over Structured Inputs
NeurIPS 2022
When Do Flat Minima Optimizers Work?
NeurIPS 2022
Causal Effect Inference for Structured Treatments
NeurIPS 2021
A Class of Algorithms for General Instrumental Variable Models
NeurIPS 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs
NeurIPS 2020
A Model to Search for Synthesizable Molecules
NeurIPS 2019
Counterfactual Fairness
NeurIPS 2017
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
NeurIPS 2017
Supervised Word Mover's Distance
NeurIPS 2016
Fast Distributed k-Center Clustering with Outliers on Massive Data
NeurIPS 2015