Mathematics

Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks NeurIPS 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 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 Morphological Fusion Using Partial Information Decomposition COLING 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 Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Modeling Abstract Algebra as an OWL Ontology (Student Abstract) AAAI 2022 Modeling Dynamic Target Deformation in Camera Calibration WACV 2022 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NeurIPS 2022 Modular Conformal Calibration ICML 2022 Molecule Generation by Principal Subgraph Mining and Assembling NeurIPS 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022 Multidimensional acoustic variation in vowels across English dialects NAACL 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Multilevel Optimization for Inverse Problems COLT 2022