Optimization

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022 Do We Need Anisotropic Graph Neural Networks? ICLR 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps NeurIPS 2022 DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy AAAI 2022 Dual-Shutter Optical Vibration Sensing CVPR 2022 DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed Protocols OSDI 2022 Dynamic Fair Division with Partial Information NeurIPS 2022 Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention IJCAI 2022 Dynamic Regret of Online Markov Decision Processes ICML 2022 Dynamic Sparse R-CNN CVPR 2022 Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search ACML 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods ICLR 2022 Efficiency Ordering of Stochastic Gradient Descent NeurIPS 2022 Efficient Algorithms for Extreme Bandits AISTATS 2022 Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022 Efficient and Differentiable Conformal Prediction with General Function Classes ICLR 2022 Efficient and Modular Implicit Differentiation NeurIPS 2022 Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions NeurIPS 2022 Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability ALT 2022 Efficient and Robust Knowledge Graph Construction AACL 2022