Optimization

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Bandit Convex Optimization in Non-stationary Environments JMLR 2021 Bandits with Knapsacks beyond the Worst Case NeurIPS 2021 Bandits with many optimal arms NeurIPS 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian optimization for modular black-box systems with switching costs UAI 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization over Hybrid Spaces ICML 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data L4DC 2021 Best-case lower bounds in online learning NeurIPS 2021 Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel NeurIPS 2021 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NeurIPS 2021 Better Training using Weight-Constrained Stochastic Dynamics ICML 2021 Between Flexibility and Consistency: Joint Generation of Captions and Subtitles ACL 2021 Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference EMNLP 2021 Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization EMNLP 2021 Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization NeurIPS 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021 Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction AAAI 2021 Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction CVPR 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design ICML 2021