Mathematics & Optimization

Revisiting Online Quantum State Learning AAAI 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Revisiting Stochastic Extragradient AISTATS 2020 Revisiting the Landscape of Matrix Factorization AISTATS 2020 Riccati updates for online linear quadratic control L4DC 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 Rigorous Guarantees for Tyler’s M-Estimator via Quantum Expansion COLT 2020 RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SemEval 2020 Risk Bounds for Reservoir Computing JMLR 2020 Risk Guarantee Prediction in Networked-Loans IJCAI 2020 RM-CVaR: Regularized Multiple β-CVaR Portfolio IJCAI 2020 RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization AAAI 2020 Robust k-means++ UAI 2020 Robust 3D Self-Portraits in Seconds CVPR 2020 Robust, Accurate Stochastic Optimization for Variational Inference NeurIPS 2020 Robust Algorithms for Online k-means Clustering ALT 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust Correction of Sampling Bias using Cumulative Distribution Functions NeurIPS 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020 Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020