Jesse Davis
26 papers · 2010–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Full π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(115)
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(15)
Core AI
(11)
Learning Types
(9)
Optimization & Theory
(9)
Core Methods
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Application Areas
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Deep Learning
(3)
Knowledge & Reasoning
(3)
Natural Language Processing
(3)
Computer Vision
(2)
Analysis
(2)
Applications
(2)
Keywords
tree ensemble
(4)
probabilistic inference
(4)
adversarial example
(3)
lifted inference
(3)
graphical model
(3)
probability word problem
(2)
markov network
(2)
probabilistic programming
(2)
markov logic network
(2)
anomaly detection
(2)
propensity score
(2)
probabilistic modeling
(2)
knowledge base completion
(2)
transfer learning
(2)
argument mining
(2)
variable elimination
(2)
probabilistic logic
(1)
embedding learning
(1)
binary classification
(1)
feature selection
(1)
Papers
Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising
EACL 2026
Compressing tree ensembles through Level-wise Optimization and Pruning
ICML 2025
Learning from biased positive-unlabeled data via threshold calibration
AISTATS 2025
Mitigating Negative Interference in Multilingual Knowledge Editing through Null-Space Constraints
ACL 2025
DMON: A Simple Yet Effective Approach for Argument Structure Learning
COLING 2024
Faster Repeated Evasion Attacks in Tree Ensembles
NeurIPS 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
Unsupervised Anomaly Detection with Rejection
NeurIPS 2023
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity
AAAI 2022
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
AAAI 2022
Mapping probability word problems to executable representations
EMNLP 2021
Versatile Verification of Tree Ensembles
ICML 2021
Class Prior Estimation in Active Positive and Unlabeled Learning
IJCAI 2020
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)
IJCAI 2020
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
UAI 2019
Induction of Interpretable Possibilistic Logic Theories from Relational Data
IJCAI 2017
Solving Probability Problems in Natural Language
IJCAI 2017
Dynamic Early Stopping for Naive Bayes
IJCAI 2016
Learning Possibilistic Logic Theories from Default Rules
IJCAI 2016
Tractable Learning for Complex Probability Queries
NeurIPS 2015
Unsupervised Learning of an IS-A Taxonomy from a Limited Domain-Specific Corpus
IJCAI 2015
Improving Markov Network Structure Learning Using Decision Trees
JMLR 2014
Completeness Results for Lifted Variable Elimination
AISTATS 2013
First-order Decomposition Trees
NeurIPS 2013
Lifted Variable Elimination with Arbitrary Constraints
AISTATS 2012
Learning First-Order Horn Clauses from Web Text
EMNLP 2010