Christopher Leckie
16 papers · 2012–2025 · 9 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Optimization & Theory
(8)
Deep Learning
(6)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Core AI
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Natural Language Processing
(1)
Keywords
combinatorial optimization
(4)
predict and optimize
(3)
domain adaptation
(2)
graph anomaly detection
(2)
dynamic programming
(2)
cross-domain learning
(2)
normalizing flow
(2)
data poisoning
(1)
model selection
(1)
image classification
(1)
parameter estimation
(1)
multimodal learning
(1)
feature representation
(1)
label noise
(1)
semi-supervised learning
(1)
linear programming
(1)
discrete optimization
(1)
nonlinear regression
(1)
coordinate descent
(1)
text classification
(1)
Papers
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
WACV 2025
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
ICLR 2025
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
AAAI 2023
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems
AAAI 2022
l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training
ECCV 2022
MurTree: Optimal Decision Trees via Dynamic Programming and Search
JMLR 2022
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
AAAI 2022
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
IJCAI 2021
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
AAAI 2021
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
NeurIPS 2020
Dynamic Programming for Predict+Optimise
AAAI 2020
Invertible Generative Modeling using Linear Rational Splines
AISTATS 2020
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
IJCAI 2019
Robust Domain Generalisation by Enforcing Distribution Invariance
IJCAI 2016
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations
IJCAI 2015
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels
ACML 2012