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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources AAAI 2020 Utility/Privacy Trade-off through the lens of Optimal Transport AISTATS 2020 UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection SemEval 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020 Variable Elimination in Binary CSPs (Extended Abstract) IJCAI 2020 Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NeurIPS 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems AISTATS 2020 Variation in Spectral Slope and Interharmonic Noise in Cantonese Tones Interspeech 2020 Vertex Weighting-Based Tabu Search for p-Center Problem IJCAI 2020 Virtual Reference Feedback Tuning with data-driven reference model selection L4DC 2020 VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch Interspeech 2020 Voicing Distinction of Obstruents in the Hangzhou Wu Chinese Dialect Interspeech 2020 VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform WACV 2020 Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization NeurIPS 2020 Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020 Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020 Wasserstein Style Transfer AISTATS 2020 Weak Form Generalized Hamiltonian Learning NeurIPS 2020 Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information JMLR 2020 Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings NeurIPS 2020 Well-Structured Committees IJCAI 2020