Optimization

Skill-based Model-based Reinforcement Learning CoRL 2022 Sliced Wasserstein variational inference ACML 2022 Sliding-Seeking Control: Model-Free Optimization with Safety Constraints L4DC 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022 Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data AAAI 2022 Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor NeurIPS 2022 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NeurIPS 2022 Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer RSS 2022 Solving structured hierarchical games using differential backward induction UAI 2022 SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning ICLR 2022 Sound and Complete Neural Network Repair with Minimality and Locality Guarantees ICLR 2022 Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing AACL 2022 Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity ICLR 2022 Sparse Double Descent: Where Network Pruning Aggravates Overfitting ICML 2022 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NeurIPS 2022 Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022 Sparse Invariant Risk Minimization ICML 2022 Sparse Non-Local CRF CVPR 2022 Sparse Probabilistic Circuits via Pruning and Growing NeurIPS 2022 Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022 Spartan: Differentiable Sparsity via Regularized Transportation NeurIPS 2022 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 Speeding Up Entmax NAACL 2022 Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs AAAI 2022