Mathematics

Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022 NTF of Spectral and Spatial Features for Tracking and Separation of Moving Sound Sources in Spherical Harmonic Domain Interspeech 2022 Nyström Kernel Mean Embeddings ICML 2022 Offline change detection under contamination UAI 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 On A Mallows-type Model For (Ranked) Choices NeurIPS 2022 On early extinction and the effect of travelling in the SIR model UAI 2022 On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 On Leave-One-Out Conditional Mutual Information For Generalization NeurIPS 2022 On Linear Model with Markov Signal Priors AISTATS 2022 On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity AISTATS 2022 On Non-Linear operators for Geometric Deep Learning NeurIPS 2022 On perfectness in Gaussian graphical models AISTATS 2022 On reporting scores and agreement for error annotation tasks EMNLP 2022 On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022 On the Complexity of Inductively Learning Guarded Clauses AAAI 2022 On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NeurIPS 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NeurIPS 2022 On the Effectiveness of Persistent Homology NeurIPS 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport JMLR 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 On the Instability of Relative Pose Estimation and RANSAC's Role CVPR 2022