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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020 p-Norm Flow Diffusion for Local Graph Clustering ICML 2020 Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020 Point process models for sequence detection in high-dimensional neural spike trains NeurIPS 2020 Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020 Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix ICML 2020 Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling ACML 2020 POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization AAAI 2020 Population-Based Black-Box Optimization for Biological Sequence Design ICML 2020 Poset Representations for Sets of Elementary Triplets PGM 2020 Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract) AAAI 2020 Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games AAAI 2020 Practical Locally Private Heavy Hitters JMLR 2020 Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods AAAI 2020 Predicting Declension Class from Form and Meaning ACL 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Predicting Training Time Without Training NeurIPS 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Prediction regions through Inverse Regression JMLR 2020 Prediction with Corrupted Expert Advice NeurIPS 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020