Papers
EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding
Jinchun Du, Bojie Shen, Muhammad Aamir Cheema
Discounted Cuts: A Stackelberg Approach to Network Disruption
Pål Grønås Drange, Fedor Fomin, Petr A. Golovach et al.
Finding Diverse Solutions Parameterized by Cliquewidth
Karolina Drabik, Tomáš Masařík
Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
Benjamin Doerr, Martin S. Krejca, Milan Stanković
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
Maxim Divilkovskiy, Alexander Gasnikov
Massively Parallel Proof-Number Search for Impartial Games and Beyond
Tomáš Čížek, Martin Balko, Martin Schmid
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng, Bo Xue, Qingfu Zhang
Minimum-Cost Network Flow with Dual Predictions
Zhiyang Chen, Hailong Yao, Xia Yin
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
Xin Chen, Chunfeng Cui, Deren Han et al.
An Adaptive Configuration-Aware Simulated Annealing for the Maximally Diverse Grouping Problem
Baiyu Chen, Canhui Luo, Junwen Ding et al.
A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles
Saman Ahmadi, Mahdi Jalili
MeshA*: Efficient Path Planning with Motion Primitives
Marat Agranovskiy, Konstantin Yakovlev
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
Haoyang Zheng, Hengrong Du, Ruqi Zhang et al.
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
Hong Xie, Haoran Gu, Yanying Huang et al.
Robust Causal Discovery Under Imperfect Structural Constraints
Zidong Wang, Xi Lin, Chuchao He et al.
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
Pablo Torrijos, Jose M. Puerta, Juan A. Aledo et al.
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer et al.
Targeting in Multi-Criteria Decision Making
Nicolas Schwind, Patricia Everaere, Sébastien Konieczny et al.
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
Wenjia Meng, Teng Zhang, Haoliang Sun et al.
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani et al.
MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization
Hui Li, Huafeng Liu, Yiran Fu et al.
High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation
Ilya Levin, Alexey Naumov, Sergey Samsonov
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects
Kohsuke Kubota, Shonosuke Sugasawa
Potential Outcome Rankings for Counterfactual Decision Making
Yuta Kawakami, Jin Tian
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
Bosun Kang, Hyejun Park, Chenglin Fan