Optimization

Dynamic allocation of limited memory resources in reinforcement learning NeurIPS 2020 Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 Dynamic Data Selection and Weighting for Iterative Back-Translation EMNLP 2020 Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Dynamic Model Pruning with Feedback ICLR 2020 Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020 Dynamic Programming for Predict+Optimise AAAI 2020 Dynamic Regret of Convex and Smooth Functions NeurIPS 2020 Dynamic Submodular Maximization NeurIPS 2020 Early Stage LM Integration Using Local and Global Log-Linear Combination Interspeech 2020 EcoNAS: Finding Proxies for Economical Neural Architecture Search CVPR 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs IJCAI 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020 Efficient Clustering for Stretched Mixtures: Landscape and Optimality NeurIPS 2020 Efficient Derivative Computation for Cumulative B-Splines on Lie Groups CVPR 2020 Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy AISTATS 2020 Efficient Heuristic Search for M-Modes Inference PGM 2020 Efficient improper learning for online logistic regression COLT 2020 Efficient Inference of Optimal Decision Trees AAAI 2020 Efficient Intervention Design for Causal Discovery with Latents ICML 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020