Optimization

SANDI: Story-and-Images Alignment EACL 2021 SAT-based Decision Tree Learning for Large Data Sets AAAI 2021 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization NeurIPS 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scalable Graph Networks for Particle Simulations AAAI 2021 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning ICML 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Scale-Aware Automatic Augmentation for Object Detection CVPR 2021 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Scaling Sparsemax Based Channel Selection for Speech Recognition with ad-hoc Microphone Arrays Interspeech 2021 Scaling the Convex Barrier with Active Sets ICLR 2021 Scaling Up Exact Neural Network Compression by ReLU Stability NeurIPS 2021 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 Scarce Societal Resource Allocation and the Price of (Local) Justice AAAI 2021 Scheduling jobs with stochastic holding costs NeurIPS 2021 Scheduling of Time-Varying Workloads Using Reinforcement Learning AAAI 2021 School Choice with Flexible Diversity Goals and Specialized Seats IJCAI 2021 SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups AISTATS 2021 Searching for Alignment in Face Recognition AAAI 2021 Searching for Controllable Image Restoration Networks ICCV 2021 Searching for Fast Model Families on Datacenter Accelerators CVPR 2021 Searching for Machine Learning Pipelines Using a Context-Free Grammar AAAI 2021 Searching the Search Space of Vision Transformer NeurIPS 2021