Mathematics & Optimization

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 Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021 L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021 LTL-Constrained Steady-State Policy Synthesis IJCAI 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 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths ICCV 2021 Making the most of your day: online learning for optimal allocation of time NeurIPS 2021 Making transport more robust and interpretable by moving data through a small number of anchor points ICML 2021 Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Margin-Independent Online Multiclass Learning via Convex Geometry NeurIPS 2021 Margin of Victory in Tournaments: Structural and Experimental Results AAAI 2021 Market-Based Explanations of Collective Decisions AAAI 2021 Matchings with Group Fairness Constraints: Online and Offline Algorithms IJCAI 2021 Matrix Completion with Model-free Weighting ICML 2021 Matrix encoding networks for neural combinatorial optimization NeurIPS 2021 Matrix factorisation and the interpretation of geodesic distance NeurIPS 2021 Matrix games with bandit feedback UAI 2021 Maximal ancestral graph structure learning via exact search UAI 2021 Maximin Fairness with Mixed Divisible and Indivisible Goods AAAI 2021