Optimization

Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 On Adaptivity in Information-Constrained Online Learning AAAI 2020 On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent ICML 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020 On Coresets for Regularized Regression ICML 2020 On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 On Efficient Constructions of Checkpoints ICML 2020 On Efficient Low Distortion Ultrametric Embedding ICML 2020 One Sample Stochastic Frank-Wolfe AISTATS 2020 One-Shot Neural Architecture Search via Novelty Driven Sampling IJCAI 2020 One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation ICLR 2020 One Size Fits All: Can We Train One Denoiser for All Noise Levels? ICML 2020 On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems ICML 2020 On Irrelevant Literals in Pseudo-Boolean Constraint Learning IJCAI 2020 On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner CVPR 2020 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 Online Domain Adaptation for Occupancy Mapping RSS 2020 Online Hashing with Efficient Updating of Binary Codes AAAI 2020 Online Knowledge Distillation via Collaborative Learning CVPR 2020 Online Learning in Changing Environments IJCAI 2020 Online learning with dynamics: A minimax perspective NeurIPS 2020 Online Learning with Imperfect Hints ICML 2020 Online Learning with Primary and Secondary Losses NeurIPS 2020