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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021 The Sparse Vector Technique, Revisited COLT 2021 The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data ICCV 2021 The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks ICML 2021 The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits AAAI 2021 The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound IJCAI 2021 The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation NeurIPS 2021 The Value of Information When Deciding What to Learn NeurIPS 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021 Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021 Thompson Sampling Algorithms for Cascading Bandits JMLR 2021 Thompson Sampling for Bandits with Clustered Arms IJCAI 2021 Three Operator Splitting with a Nonconvex Loss Function ICML 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021 TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport IJCAI 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021 Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021 TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Topic-Guided Abstractive Multi-Document Summarization EMNLP 2021 Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021