Nan Ye
11 papers · 2009–2024 · 7 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
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Grand Slam
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(65)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Learning Types
(6)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Machine Learning
(4)
Core AI
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Applications
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Paradigms
(2)
Methods
(2)
Optimization
(2)
Keywords
conditional random field
(3)
graphical model
(3)
partially observable markov decision process
(2)
sequence labeling
(2)
decision tree
(2)
online planning
(2)
risk minimization
(1)
structured prediction
(1)
approximate inference
(1)
named entity recognition
(1)
efficient inference
(1)
tensor decomposition
(1)
belief propagation
(1)
monte carlo simulation
(1)
ensemble learning
(1)
decision making
(1)
belief state
(1)
label noise
(1)
pomdp planning
(1)
text classification
(1)
Papers
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
AAAI 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels
AAAI 2024
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
NeurIPS 2022
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
ICLR 2020
Greedy Convex Ensemble
IJCAI 2020
Tensor Belief Propagation
ICML 2017
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
JMLR 2014
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
NeurIPS 2013
DESPOT: Online POMDP Planning with Regularization
NeurIPS 2013
Conditional Random Fields with High-Order Features for Sequence Labeling
NeurIPS 2009
Domain adaptive bootstrapping for named entity recognition
EMNLP 2009