Optimization

Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation AAAI 2021 Online Facility Location with Multiple Advice NeurIPS 2021 Online Graph Dictionary Learning ICML 2021 Online Learning from Optimal Actions COLT 2021 Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort ACL 2021 Online Learning with Optimism and Delay ICML 2021 Online Non-Monotone DR-Submodular Maximization AAAI 2021 Online Optimal Control with Affine Constraints AAAI 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021 Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems ICML 2021 Online-Trained Upsampler for Deep Low Complexity Video Compression ICCV 2021 On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory AAAI 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems AAAI 2021 On Orthogonality Constraints for Transformers ACL 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation NeurIPS 2021 On Sampling-Based Training Criteria for Neural Language Modeling Interspeech 2021 On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems AISTATS 2021 On the Adequacy of Untuned Warmup for Adaptive Optimization AAAI 2021