Mathematics

Locally differentially private estimation of functionals of discrete distributions NeurIPS 2021 Local Search for Diversified Top-k s-plex Search Problem (Student Abstract) AAAI 2021 Lossy Compression for Lossless Prediction NeurIPS 2021 Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 Low-Rank Sinkhorn Factorization ICML 2021 Low-Rank Subspaces in GANs NeurIPS 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Machine learning structure preserving brackets for forecasting irreversible processes NeurIPS 2021 Majority Opinion Diffusion in Social Networks: An Adversarial Approach AAAI 2021 Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites IJCAI 2021 Majorizing Measures, Sequential Complexities, and Online Learning COLT 2021 Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Margin of Victory in Tournaments: Structural and Experimental Results AAAI 2021 Matrix factorisation and the interpretation of geodesic distance NeurIPS 2021 Maximal ancestral graph structure learning via exact search UAI 2021 Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions ACML 2021 Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT AISTATS 2021 Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering NeurIPS 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NeurIPS 2021 Mind the Performance Gap: Examining Dataset Shift During Prospective Validation MLHC 2021 Minimal enumeration of all possible total effects in a Markov equivalence class AISTATS 2021 Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021 Minimization of Limit-Average Automata IJCAI 2021 Minimizing Polarization and Disagreement in Social Networks via Link Recommendation NeurIPS 2021