Optimization

Online Approval Committee Elections IJCAI 2022 Online Continual Adaptation with Active Self-Training AISTATS 2022 Online Deep Equilibrium Learning for Regularization by Denoising NeurIPS 2022 Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future IJCAI 2022 Online Frank-Wolfe with Arbitrary Delays NeurIPS 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022 Online Matching with Controllable Rewards and Arrival Probabilities IJCAI 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022 Online Training Through Time for Spiking Neural Networks NeurIPS 2022 On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022 On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity AISTATS 2022 On Non-local Convergence Analysis of Deep Linear Networks ICML 2022 On Numerical Integration in Neural Ordinary Differential Equations ICML 2022 On provably robust meta-Bayesian optimization UAI 2022 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms AISTATS 2022 On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022 On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration IJCAI 2022 On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the Convergence of Decentralized Adaptive Gradient Methods ACML 2022 On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming ICML 2022 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022