Optimization

A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement CVPR 2022 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum ICML 2022 Adaptive Rectangle Loss for Speaker Verification Interspeech 2022 Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022 A Differential Entropy Estimator for Training Neural Networks ICML 2022 A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NeurIPS 2022 Amortized Implicit Differentiation for Stochastic Bilevel Optimization ICLR 2022 Amortized Projection Optimization for Sliced Wasserstein Generative Models NeurIPS 2022 Annihilation of Spurious Minima in Two-Layer ReLU Networks NeurIPS 2022 Approximate Secular Equations for the Cubic Regularization Subproblem NeurIPS 2022 A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022 Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022 A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract) AAAI 2022 A Simple Guard for Learned Optimizers ICML 2022 A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 Autoinverse: Uncertainty Aware Inversion of Neural Networks NeurIPS 2022 AutoSNN: Towards Energy-Efficient Spiking Neural Networks ICML 2022 Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022 BINAS: Bilinear Interpretable Neural Architecture Search ACML 2022 Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution NeurIPS 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022 Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NeurIPS 2022