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Continuous Optimization

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Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NIPS 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness NIPS 2019
Decentralized sketching of low rank matrices NIPS 2019
Regularized Weighted Low Rank Approximation NIPS 2019
Massively scalable Sinkhorn distances via the Nyström method NIPS 2019
Global Optimization under Length Constraint for Neural Text Summarization ACL 2019
Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019
Towards Optimal Transport with Global Invariances AISTATS 2019
Block Stability for MAP Inference AISTATS 2019
Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization RSS 2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019
Least Squares Estimation of Weakly Convex Functions AISTATS 2019
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates RSS 2019
Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching NIPS 2019
Robust Principal Component Analysis with Adaptive Neighbors NIPS 2019
Outlier Detection and Robust PCA Using a Convex Measure of Innovation NIPS 2019
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ICML 2019
Entropy-Penalized Semidefinite Programming IJCAI 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019
Robust exploration in linear quadratic reinforcement learning NIPS 2019
Variance Reduction for Matrix Games NIPS 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NIPS 2019
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback NIPS 2019
Projection-Free Bandit Convex Optimization AISTATS 2019