Table of Contents

• Routine Bandits: Minimizing Regret on Recurring ProblemsHassan Saber, Léo Saci, Odalric-Ambrym Maillard, Audrey Durand. 3-18 [doi]
• Conservative Online Convex OptimizationMartino Bernasconi de Luca, Edoardo Vittori, Francesco Trovò, Marcello Restelli. 19-34 [doi]
• Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational BanditsKaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth. 35-50 [doi]
• Exploiting History Data for Nonstationary Multi-armed BanditGerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli. 51-66 [doi]
• High-Probability Kernel Alignment Regret Bounds for Online Kernel SelectionShizhong Liao, Junfan Li. 67-83 [doi]
• Periodic Intra-ensemble Knowledge Distillation for Reinforcement LearningZhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda. 87-103 [doi]
• Learning to Build High-Fidelity and Robust Environment ModelsWeinan Zhang 0001, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li. 104-121 [doi]
• Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement LearningMuhammad Rizki Maulana, Wee Sun Lee. 122-138 [doi]
• Multi-agent Imitation Learning with CopulasHongwei Wang 0004, Lantao Yu, Zhangjie Cao, Stefano Ermon. 139-156 [doi]
• CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average ConstraintsChenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang 0001, Mingwei Xu. 157-173 [doi]
• Model-Based Offline Policy Optimization with Distribution Correcting RegularizationJian Shen 0003, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang 0001, Yong Yu 0001. 174-189 [doi]
• Disagreement Options: Task Adaptation Through Temporally Extended ActionsMatthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré. 190-205 [doi]
• Deep Adaptive Multi-intention Inverse Reinforcement LearningAriyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman. 206-221 [doi]
• Unsupervised Task Clustering for Multi-task Reinforcement LearningJohannes Ackermann, Oliver Richter, Roger Wattenhofer. 222-237 [doi]
• Deep Model Compression via Two-Stage Deep Reinforcement LearningHuixin Zhan, Wei-Ming Lin, Yongcan Cao. 238-254 [doi]
• Dropout's Dream Land: Generalization from Learned Simulators to RealityZac Wellmer, James T. Kwok. 255-270 [doi]
• Goal Modelling for Deep Reinforcement Learning AgentsJonathan Leung, Zhiqi Shen 0001, Zhiwei Zeng, Chunyan Miao. 271-286 [doi]
• Deviation-Based Marked Temporal Point Process for Marker PredictionAnand Vir Singh Chauhan, Shivshankar Reddy, Maneet Singh, Karamjit Singh, Tanmoy Bhowmik. 289-304 [doi]
• Deep Structural Point Process for Learning Temporal Interaction NetworksJiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang 0004. 305-320 [doi]
• Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network ApproachBingjie He, Shukai Li, Chen Zhang, Baihua Zheng, Fugee Tsung. 321-336 [doi]
• Reservoir Pattern Sampling in Data StreamsArnaud Giacometti, Arnaud Soulet. 337-352 [doi]
• Discovering Proper Neighbors to Improve Session-Based RecommendationLin Liu, Li Wang, Tao Lian. 353-369 [doi]
• Continuous-Time Markov-Switching GARCH Process with Robust State Path Identification and Volatility EstimationYinan Li, Fang Liu 0006. 370-387 [doi]
• Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes ProcessYugang Ji, Tianrui Jia, Yuan Fang 0001, Chuan Shi. 388-403 [doi]
• Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series ForecastingAmal Saadallah, Matthias Jakobs, Katharina Morik. 404-420 [doi]
• Change Detection in Multivariate Datastreams Controlling False AlarmsLuca Frittoli, Diego Carrera, Giacomo Boracchi. 421-436 [doi]
• Approximation Algorithms for Confidence Bands for Time SeriesNikolaj Tatti. 437-452 [doi]
• A Mixed Noise and Constraint-Based Approach to Causal Inference in Time SeriesKarim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir. 453-468 [doi]
• Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label NoiseAndrea Castellani, Sebastian Schmitt, Barbara Hammer. 469-484 [doi]
• Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and DatasetsShayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka. 485-501 [doi]
• Streaming Decision Trees for Lifelong LearningLukasz Korycki, Bartosz Krawczyk. 502-518 [doi]
• Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial GroupsFarzaneh Khoshnevisan, Min Chi. 521-537 [doi]
• Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural NetworkPengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang. 538-553 [doi]
• Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftEtienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot. 554-569 [doi]
• Source Hypothesis Transfer for Zero-Shot Domain AdaptationTomoya Sakai 0001. 570-586 [doi]
• FedPHP: Federated Personalization with Inherited Private ModelsXin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song. 587-602 [doi]
• Rumour Detection via Zero-Shot Cross-Lingual Transfer LearningLin Tian, Xiuzhen Zhang, Jey Han Lau. 603-618 [doi]
• Continual Learning with Dual RegularizationsXuejun Han, Yuhong Guo. 619-634 [doi]
• EARLIN: Early Out-of-Distribution Detection for Resource-Efficient Collaborative InferenceSumaiya Tabassum Nimi, Md. Adnan Arefeen, Md Yusuf Sarwar Uddin, Yugyung Lee. 635-651 [doi]
• LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal TransportYanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang 0001. 655-670 [doi]
• Spatial Contrastive Learning for Few-Shot ClassificationYassine Ouali, Céline Hudelot, Myriam Tami. 671-686 [doi]
• Ensemble of Local Decision Trees for Anomaly Detection in Mixed DataSunil Aryal, Jonathan R. Wells. 687-702 [doi]
• Optimal Teaching Curricula with Compositional Simplicity PriorsManuel Garcia-Piqueras, José Hernández-Orallo. 705-721 [doi]
• FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID DataJian-Hui Duan, Wenzhong Li, Sanglu Lu. 722-737 [doi]
• The Curious Case of Convex Neural NetworksSarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi. 738-754 [doi]
• UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised LearningRobin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay. 755-771 [doi]
• Efficient and Less Centralized Federated LearningLi Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava. 772-787 [doi]
• Topological Anomaly Detection in Dynamic Multilayer Blockchain NetworksDorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel. 788-804 [doi]