Optimization & Theory

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023 AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks AAAI 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NeurIPS 2023 Automatic Exploration of Optimal Data Processing Operations for Sound Data Augmentation Using Improved Differentiable Automatic Data Augmentation Interspeech 2023 Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis Interspeech 2023 AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023 A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR 2023 Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023 Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023 Benign overfitting in ridge regression JMLR 2023 Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023 Best-k Search Algorithm for Neural Text Generation ACL 2023 Beta Diffusion NeurIPS 2023 Better and Faster: Adaptive Event Conversion for Event-Based Object Detection AAAI 2023 Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information ACML 2023 Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE NSDI 2023 Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework AAAI 2023 Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023 Beyond mAP: Towards Better Evaluation of Instance Segmentation CVPR 2023 Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023