Jeffrey Chan
9 papers · 2015–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (10) π Cross-Pollinator (14)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(19)
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Interdisciplinary Bridge
π§¬
Topic Evolution
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Trend Setter
Conferences
AAAI (5)
IJCAI (2)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
combinatorial optimization
(4)
predict and optimize
(3)
dynamic programming
(2)
likelihood-free inference
(1)
mutual information
(1)
probability distribution
(1)
discrete optimization
(1)
linear programming
(1)
coordinate descent
(1)
machine learning
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
population genetics
(1)
divide and conquer
(1)
greedy algorithm
(1)
decision tree
(1)
hallucination mitigation
(1)
interpretable model
(1)
knapsack problem
(1)
subspace embedding
(1)
Papers
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
AAAI 2026
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
AAAI 2025
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems
AAAI 2022
MurTree: Optimal Decision Trees via Dynamic Programming and Search
JMLR 2022
Dynamic Programming for Predict+Optimise
AAAI 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
AAAI 2020
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
IJCAI 2019
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NIPS 2018
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations
IJCAI 2015