Mathematics & Optimization

Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022 Maximum n-times Coverage for Vaccine Design ICLR 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 Max-Min Grouped Bandits AAAI 2022 Maxmin Participatory Budgeting IJCAI 2022 Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains IJCAI 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Measure Estimation in the Barycentric Coding Model ICML 2022 Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract) IJCAI 2022 Measuring dissimilarity with diffeomorphism invariance ICML 2022 Measuring Morphological Fusion Using Partial Information Decomposition COLING 2022 Mechanism Design with Predictions IJCAI 2022 MemLiner: Lining up Tracing and Application for a Far-Memory-Friendly Runtime OSDI 2022 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NeurIPS 2022 Metrics of Calibration for Probabilistic Predictions JMLR 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022 Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022 Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NeurIPS 2022 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NeurIPS 2022 Minimax Optimization: The Case of Convex-Submodular AISTATS 2022 Minimax Regret for Cascading Bandits NeurIPS 2022 Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022 Minimum Cost Intervention Design for Causal Effect Identification ICML 2022