Optimization

Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021 Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021 Near-Optimal Linear Regression under Distribution Shift ICML 2021 Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness NeurIPS 2021 Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning NeurIPS 2021 Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NeurIPS 2021 Near Optimal Policy Optimization via REPS NeurIPS 2021 Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions AAAI 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021 Network Inference and Influence Maximization from Samples ICML 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Neural Architecture Search without Training ICML 2021 Neural Architecture Search With Random Labels CVPR 2021 Neural-Driven Search-Based Paraphrase Generation EACL 2021 Neurally Augmented ALISTA ICLR 2021 Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects NAACL 2021 Neural Pruning via Growing Regularization ICLR 2021 Neural Regret-Matching for Distributed Constraint Optimization Problems IJCAI 2021 Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation CVPR 2021 Neural Scene Flow Prior NeurIPS 2021 Neural Symbolic Regression that scales ICML 2021 Neural Tangent Generalization Attacks ICML 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem NeurIPS 2021