Optimization

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees NeurIPS 2022 Distributed Online Learning for Joint Regret with Communication Constraints ALT 2022 Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity NeurIPS 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022 Distributionally Robust Optimization with Data Geometry NeurIPS 2022 Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022 Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022 Distribution Consistent Neural Architecture Search CVPR 2022 Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022 Divisive Feature Normalization Improves Image Recognition Performance in AlexNet ICLR 2022 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022 Document-Level Event Argument Extraction via Optimal Transport ACL 2022 Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Does Joint Training Really Help Cascaded Speech Translation? EMNLP 2022 Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 Does Simultaneous Speech Translation need Simultaneous Models? EMNLP 2022 Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features ICLR 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 Domain Generalization without Excess Empirical Risk NeurIPS 2022 Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation NeurIPS 2022 Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022