Mathematics & Optimization

Deductive Module Extraction for Expressive Description Logics IJCAI 2020 Deep Diffusion-Invariant Wasserstein Distributional Classification NeurIPS 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Deep Implicit Volume Compression CVPR 2020 Deep Learning—Powered Iterative Combinatorial Auctions AAAI 2020 Deep Learning Tubes for Tube MPC RSS 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing AAAI 2020 Deep Statistical Solvers NeurIPS 2020 Deep Variational Instance Segmentation NeurIPS 2020 Defending with Shared Resources on a Network AAAI 2020 Delay-Adaptive Distributed Stochastic Optimization AAAI 2020 Delay and Cooperation in Nonstochastic Linear Bandits NeurIPS 2020 Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs NeurIPS 2020 Dependent randomized rounding for clustering and partition systems with knapsack constraints AISTATS 2020 Depth Completion via Deep Basis Fitting WACV 2020 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020 Derivative-Free & Order-Robust Optimisation AISTATS 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 Designing Committees for Mitigating Biases AAAI 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NeurIPS 2020 Diameter-based Interactive Structure Discovery AISTATS 2020 Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections AAAI 2020 Diffeomorphic Learning JMLR 2020