Mathematics & Optimization

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable Grammars for Videos AAAI 2020 Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020 Differentially Private Small Dataset Release Using Random Projections UAI 2020 Differentially Private Survival Function Estimation MLHC 2020 Differential Privacy for Stackelberg Games IJCAI 2020 Digraph Inception Convolutional Networks NeurIPS 2020 Dimension-Free Bounds for Chasing Convex Functions COLT 2020 Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium IJCAI 2020 DINO: Distributed Newton-Type Optimization Method ICML 2020 Direct Data-Driven Control with Embedded Anti-Windup Compensation L4DC 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020 Discovering conflicting groups in signed networks NeurIPS 2020 Discovering Synchronized Subsets of Sequences: A Large Scale Solution CVPR 2020 Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020 Disentangling by Subspace Diffusion NeurIPS 2020 Distance-Based Equilibria in Normal-Form Games AAAI 2020 Distributed Feature Screening via Componentwise Debiasing JMLR 2020 Distributed High-dimensional Regression Under a Quantile Loss Function JMLR 2020 Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020 Distributed Online Optimization over a Heterogeneous Network with Any-Batch Mirror Descent ICML 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Distributed Signal Detection under Communication Constraints COLT 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020