Optimization

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Scalable Optimal Margin Distribution Machine IJCAI 2023 Scalable Optimal Multiway-Split Decision Trees with Constraints AAAI 2023 Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023 Scalable Subset Sampling with Neural Conditional Poisson Networks ICLR 2023 Scale Invariant Power Iteration JMLR 2023 Scaling Forward Gradient With Local Losses ICLR 2023 Scaling Laws for a Multi-Agent Reinforcement Learning Model ICLR 2023 Scaling Laws for Hyperparameter Optimization NeurIPS 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering ICCV 2023 Searching for Better Database Queries in the Outputs of Semantic Parsers EACL 2023 Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking NeurIPS 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023 Search-Map-Search: A Frame Selection Paradigm for Action Recognition CVPR 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 Second-Order Optimization with Lazy Hessians ICML 2023 SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NeurIPS 2023 SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA EMNLP 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement AAAI 2023