Optimization

Efficient Generalization with Distributionally Robust Learning NeurIPS 2021 Efficient greedy coordinate descent via variable partitioning UAI 2021 Efficient Initial Pose-Graph Generation for Global SfM CVPR 2021 Efficient Learning of Discrete-Continuous Computation Graphs NeurIPS 2021 Efficient Lottery Ticket Finding: Less Data is More ICML 2021 Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams ICML 2021 Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization AISTATS 2021 Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems NeurIPS 2021 EfficientNetV2: Smaller Models and Faster Training ICML 2021 Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts IJCAI 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization AAAI 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021 Efficient Training of Retrieval Models using Negative Cache NeurIPS 2021 Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021 Efficient Truncated Linear Regression with Unknown Noise Variance NeurIPS 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021 Elastic Resource Sharing for Distributed Deep Learning NSDI 2021 ELF-VC: Efficient Learned Flexible-Rate Video Coding ICCV 2021 Embedding Principle of Loss Landscape of Deep Neural Networks NeurIPS 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 End-to-End Constrained Optimization Learning: A Survey IJCAI 2021