Optimization

Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming IJCAI 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Surface Extraction from Neural Unsigned Distance Fields ICCV 2023 Surface Normal Estimation From Optimized and Distributed Light Sources Using DNN-Based Photometric Stereo WACV 2023 Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction ICML 2023 Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023 Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023 SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023 SViTT: Temporal Learning of Sparse Video-Text Transformers CVPR 2023 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication ICLR 2023 Symbolic Discovery of Optimization Algorithms NeurIPS 2023 Symbolic Explanations for Hyperparameter Optimization AutoML 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search ICLR 2023 Symmetric Pruning in Quantum Neural Networks ICLR 2023 Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow ICLR 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NeurIPS 2023 Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NeurIPS 2023 Tailoring Language Generation Models under Total Variation Distance ICLR 2023 Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models ICCV 2023 TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives ICLR 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 Task-Robust Pre-Training for Worst-Case Downstream Adaptation NeurIPS 2023