Papers
Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents
Tianze Wei, Bo Li, Minming Li
Max Markov Chain
Yu Zhang, Mitchell Bucklew
Mean Payoff Optimization for Systems of Periodic Service and Maintenance
David Klaška, Antonín Kučera, Vít Musil et al.
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
Xiaoteng Ma, Shuai Ma, Li Xia et al.
Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu, Changan Chen, Lele Cao et al.
Measuring and Controlling Divisiveness in Rank Aggregation
Rachael Colley, Umberto Grandi, César Hidalgo et al.
Measuring a Priori Voting Power in Liquid Democracy
Rachael Colley, Théo Delemazure, Hugo Gilbert
Memory-Limited Model-Based Diagnosis (Extended Abstract)
Patrick Rodler
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Menglong Lu, Zhen Huang, Zhiliang Tian et al.
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyang Hu, Shipeng Yan, Zhitong Gao et al.
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
Ting Zhang, Zhuang Chen, Ming Zhong et al.
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
Jiayun Zhang, Xinyang Zhang, Dezhi Hong et al.
Minimizing Reachability Times on Temporal Graphs via Shifting Labels
Argyrios Deligkas, Eduard Eiben, George Skretas
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
Vishakha Patil, Vineet Nair, Ganesh Ghalme et al.
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min et al.
MMPN: Multi-supervised Mask Protection Network for Pansharpening
Changjie Chen, Yong Yang, Shuying Huang et al.
Model Conversion via Differentially Private Data-Free Distillation
Bochao Liu, Pengju Wang, Shikun Li et al.
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Elizaveta Tennant, Stephen Hailes, Mirco Musolesi
Modeling the Impact of Policy Interventions for Sustainable Development
Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa et al.
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning
Abhirup Ghosh, Cecilia Mascolo
Model Predictive Control with Reach-avoid Analysis
Dejin Ren, Wanli Lu, Jidong Lv et al.
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu, Zhenqiu Ouyang, Ben Liao et al.
Moral Planning Agents with LTL Values
Umberto Grandi, Emiliano Lorini, Timothy Parker
More for Less: Safe Policy Improvement with Stronger Performance Guarantees
Patrick Wienhöft, Marnix Suilen, Thiago D. Simão et al.
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract)
Daniel Strawser, Brian Williams