Papers
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
Conformal Prediction for Multi-Source Detection on a Network
Xingchao Jian, Purui Zhang, Lan Tian et al.
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies
Ji Cheng, Song Lai, Shunyu Yao et al.
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov et al.
Instance Dependent Testing of Samplers Using Interval Conditioning
Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote et al.
Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows
Peter Amorese, Morteza Lahijanian
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
Rajab Aghamov, Christel Baier, Joël Ouaknine et al.
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin et al.
Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents
Yuan Zhao, Hualei Zhu, Tingyu Jiang et al.