Jeffrey Bilmes
7 papers · 2004–2020 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Full
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(5)
Optimization
(5)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
submodular optimization
(5)
representation learning
(1)
image segmentation
(1)
neural network training
(1)
probabilistic inference
(1)
curriculum learning
(1)
data subset selection
(1)
neural network optimization
(1)
loss landscape
(1)
partition function
(1)
image matching
(1)
sensor placement
(1)
greedy selection
(1)
data summarization
(1)
determinantal point process
(1)
deep neural network
(1)
facility location
(1)
combinatorial constraint
(1)
representative subset
(1)
exponential moving average
(1)
Papers
apricot: Submodular selection for data summarization in Python
JMLR 2020
Curriculum Learning by Dynamic Instance Hardness
NeurIPS 2020
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
AISTATS 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
AISTATS 2019
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity
AISTATS 2015
Submodular Point Processes with Applications to Machine learning
AISTATS 2015
Multi-Speaker Language Modeling
NAACL 2004