Optimization

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023 Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems JMLR 2023 Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization NeurIPS 2023 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation ICLR 2023 Zeroth-order Optimization with Weak Dimension Dependency COLT 2023 Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training NSDI 2023 ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients ICLR 2023 πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization ICLR 2022 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022 ABC: Attention with Bounded-memory Control ACL 2022 abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022 A Bregman Learning Framework for Sparse Neural Networks JMLR 2022 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022 Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022 Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NeurIPS 2022 Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems NeurIPS 2022 Accelerated SGD for Non-Strongly-Convex Least Squares COLT 2022 Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NeurIPS 2022 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers L4DC 2022