Mathematics & Optimization

A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification EMNLP 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 A Game Theoretic Approach For Core Resilience IJCAI 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 A General Approach to Fairness with Optimal Transport AAAI 2020 A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing AAAI 2020 A General Large Neighborhood Search Framework for Solving Integer Linear Programs NeurIPS 2020 A General Method for Robust Learning from Batches NeurIPS 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 A Geometric Approach to Archetypal Analysis via Sparse Projections ICML 2020 Age-Related Differences of Tone Perception in Mandarin-Speaking Seniors Interspeech 2020 Aggregation of Multiple Knockoffs ICML 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction AAAI 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NeurIPS 2020 A Journey into Ontology Approximation: From Non-Horn to Horn IJCAI 2020 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020 A kernel test for quasi-independence NeurIPS 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 A Learning-based Iterative Method for Solving Vehicle Routing Problems ICLR 2020