Mathematics & Optimization

Reparameterizing Distributions on Lie Groups AISTATS 2019 Replica Conditional Sequential Monte Carlo ICML 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Resolution and Domination: An Improved Exact MaxSAT Algorithm IJCAI 2019 RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019 Restarting Frank-Wolfe AISTATS 2019 Rethinking Kernel Methods for Node Representation Learning on Graphs NeurIPS 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions AAAI 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets AAAI 2019 Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs NeurIPS 2019 Ridesharing with Driver Location Preferences IJCAI 2019 Riemannian Adaptive Optimization Methods ICLR 2019 Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019 Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping CoRL 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 Robust Estimation of Similarity Transformation for Visual Object Tracking AAAI 2019 Robust Estimation of Tree Structured Gaussian Graphical Models ICML 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Frequent Directions with Application in Online Learning JMLR 2019 Robust Influence Maximization for Hyperparametric Models ICML 2019 Robust Low-Tubal-Rank Tensor Completion via Convex Optimization IJCAI 2019 Robustness Envelopes for Temporal Plans AAAI 2019 Robustness of Spectral Methods for Community Detection COLT 2019