Ke Xue
22 papers · 2020–2025 · 6 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 (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
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Deep Specialist
(12)
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Dynamic Duo
(22)
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Triple Crown
ποΈ
Keyword Collector
(95)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(13)
Mathematics & Optimization
(11)
Optimization
(11)
Artificial Intelligence
(10)
Reinforcement Learning
(10)
Methods
(8)
Core AI
(7)
Learning Types
(6)
Deep Learning
(3)
Learning Paradigms
(3)
Applications
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Keywords
reinforcement learning
(4)
bayesian optimization
(4)
evolutionary algorithm
(4)
black-box optimization
(4)
multi-objective optimization
(3)
multi-agent reinforcement learning
(3)
macro placement
(2)
electronic design automation
(2)
quality-diversity algorithm
(2)
combinatorial optimization
(2)
hyperparameter optimization
(2)
policy network
(2)
monte carlo tree search
(2)
transfer learning
(2)
cumulative regret
(2)
offline optimization
(2)
gaussian process
(1)
regret minimization
(1)
non-convex optimization
(1)
theoretical analysis
(1)
Papers
Neural Solver Selection for Combinatorial Optimization
ICML 2025
Offline Model-Based Optimization by Learning to Rank
ICLR 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
AAAI 2025
Reinforced In-Context Black-Box Optimization
IJCAI 2025
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
ICML 2025
Monte Carlo Tree Search based Space Transfer for Black Box Optimization
NeurIPS 2024
Offline Multi-Objective Optimization
ICML 2024
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
IJCAI 2024
Quality-Diversity with Limited Resources
ICML 2024
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
NeurIPS 2024
Sample-Efficient Quality-Diversity by Cooperative Coevolution
ICLR 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
AAAI 2024
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
IJCAI 2024
Fast Teammate Adaptation in the Presence of Sudden Policy Change
UAI 2023
Macro Placement by Wire-Mask-Guided Black-Box Optimization
NeurIPS 2023
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
IJCAI 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers
AAAI 2023
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
ICLR 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
NeurIPS 2022
Multi-agent Dynamic Algorithm Configuration
NeurIPS 2022
Evolutionary Gradient Descent for Non-convex Optimization
IJCAI 2021
Bayesian Optimization using Pseudo-Points
IJCAI 2020