Optimization

DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022 DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation CVPR 2022 DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NeurIPS 2022 DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks WACV 2022 Data dependent randomized smoothing UAI 2022 DATA: Domain-Aware and Task-Aware Self-Supervised Learning CVPR 2022 Data-Driven Conditional Robust Optimization NeurIPS 2022 Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022 Data-Driven Offline Optimization for Architecting Hardware Accelerators ICLR 2022 Data-Efficient Augmentation for Training Neural Networks NeurIPS 2022 Data-Efficient Backdoor Attacks IJCAI 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 Data sampling affects the complexity of online SGD over dependent data UAI 2022 Dataset Distillation by Matching Training Trajectories CVPR 2022 Decentralized cloud wide-area network traffic engineering with BLASTSHIELD NSDI 2022 Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM RSS 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm ICML 2022 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022 Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NeurIPS 2022 Declarative nets that are equilibrium models ICLR 2022 Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NeurIPS 2022 Deep and Flexible Graph Neural Architecture Search ICML 2022