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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Wasserstein barycenters can be computed in polynomial time in fixed dimension JMLR 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 2021 Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 Weighting-based Variable Neighborhood Search for Optimal Camera Placement AAAI 2021 Welfare Guarantees in Schelling Segregation AAAI 2021 What About the Precedent: An Information-Theoretic Analysis of Common Law NAACL 2021 When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing AAAI 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 When to Hedge in Interactive Services NSDI 2021 When to stop value iteration: stability and near-optimality versus computation L4DC 2021 Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability AAAI 2021 Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021 Winner Determination and Strategic Control in Conditional Approval Voting IJCAI 2021 Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences NeurIPS 2021 With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021 Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation IJCAI 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem NAACL 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021