Mathematics & Optimization

Diffusion Network Inference from Partial Observations AAAI 2021 Diffusion Source Identification on Networks with Statistical Confidence ICML 2021 Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021 Dimensionality Reduction for Wasserstein Barycenter NeurIPS 2021 Dimension-free empirical entropy estimation NeurIPS 2021 Directed Graph Contrastive Learning NeurIPS 2021 Directed Probabilistic Watershed NeurIPS 2021 Direct-Search for a Class of Stochastic Min-Max Problems AISTATS 2021 Discovering Fully Oriented Causal Networks AAAI 2021 Disentangled Information Bottleneck AAAI 2021 Disjunctive Temporal Problems under Structural Restrictions AAAI 2021 Disposable Linear Bandits for Online Recommendations AAAI 2021 Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Distributed Nyström Kernel Learning with Communications ICML 2021 Distributed Saddle-Point Problems Under Data Similarity NeurIPS 2021 Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 Distributionally Robust Optimization with Markovian Data ICML 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NeurIPS 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Diversity in Kemeny Rank Aggregation: A Parameterized Approach IJCAI 2021 Dividing a Graphical Cake AAAI 2021 DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel NeurIPS 2021