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Papers (including subtopics)

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers ICML 2024 LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System ECCV 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation ICML 2024 MAC Advice for facility location mechanism design NeurIPS 2024 Machine Learning-Powered Combinatorial Clock Auction AAAI 2024 Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization IJCAI 2024 Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Marginal Causal Flows for Validation and Inference NeurIPS 2024 Markov Constraint as Large Language Model Surrogate IJCAI 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 Materials Discovery using Max K-Armed Bandit JMLR 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Matroid Semi-Bandits in Sublinear Time ICML 2024 Maxileximin Envy Allocations and Connected Goods AAAI 2024 Maximizing Nash Social Welfare under Two-Sided Preferences AAAI 2024 Maximizing the Success Probability of Policy Allocations in Online Systems AAAI 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024 MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations ICML 2024 Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity JMLR 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 Measures of diversity and space-filling designs for categorical data ICML 2024 Mechanism design augmented with output advice NeurIPS 2024 Mechanisms That Play a Game, Not Toss a Coin IJCAI 2024