Optimization

Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020 Regularized Graph Matching for Correspondence Identification under Uncertainty in Collaborative Perception RSS 2020 Regularized Optimal Transport is Ground Cost Adversarial ICML 2020 Regularized Wasserstein Means for Aligning Distributional Data AAAI 2020 Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020 Reinforcement Learning for Integer Programming: Learning to Cut ICML 2020 Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Reinforcement Learning with Perturbed Rewards AAAI 2020 Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020 Relative gradient optimization of the Jacobian term in unsupervised deep learning NeurIPS 2020 Relative Interior Rule in Block-Coordinate Descent CVPR 2020 Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation CVPR 2020 Rényi Fair Inference ICLR 2020 Reparameterizing Mirror Descent as Gradient Descent NeurIPS 2020 Representations for Stable Off-Policy Reinforcement Learning ICML 2020 Rescuing neural spike train models from bad MLE NeurIPS 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020 Revisiting Representation Degeneration Problem in Language Modeling EMNLP 2020 Revisiting the Landscape of Matrix Factorization AISTATS 2020 RFocus: Beamforming Using Thousands of Passive Antennas NSDI 2020 Ridge Regression: Structure, Cross-Validation, and Sketching ICLR 2020