Optimization

Revisiting Smoothed Online Learning NeurIPS 2021 Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021 Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract) IJCAI 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss ICLR 2021 Rewriter-Evaluator Architecture for Neural Machine Translation ACL 2021 Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021 Riggable 3D Face Reconstruction via In-Network Optimization CVPR 2021 Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration AISTATS 2021 Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021 Risk-averse Heteroscedastic Bayesian Optimization NeurIPS 2021 Risk-Averse Zero-Order Trajectory Optimization CoRL 2021 Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs JMLR 2021 RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021 RMSprop converges with proper hyper-parameter ICLR 2021 Robot Reinforcement Learning on the Constraint Manifold CoRL 2021 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems NeurIPS 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Robust Generalization despite Distribution Shift via Minimum Discriminating Information NeurIPS 2021 Robust Implicit Networks via Non-Euclidean Contractions NeurIPS 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Robust Model Compression Using Deep Hypotheses AAAI 2021 Robustness and scalability under heavy tails, without strong convexity AISTATS 2021 Robust Online Convex Optimization in the Presence of Outliers COLT 2021