Optimization

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 Fast Converging Anytime Model Counting AAAI 2023 Fast Differentiable Transient Rendering for Non-Line-of-Sight Reconstruction WACV 2023 Faster Adaptive Federated Learning AAAI 2023 Faster Differentially Private Convex Optimization via Second-Order Methods NeurIPS 2023 Faster federated optimization under second-order similarity ICLR 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Faster Margin Maximization Rates for Generic Optimization Methods NeurIPS 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023 Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NeurIPS 2023 Fast Full-frame Video Stabilization with Iterative Optimization ICCV 2023 Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence ICCV 2023 Fast Inference from Transformers via Speculative Decoding ICML 2023 Fast Monocular Visual-Inertial Initialization Leveraging Learned Single-View Depth RSS 2023 Fast Neural Scene Flow ICCV 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Fast Online Hashing with Multi-Label Projection AAAI 2023 Fast Partitioned Learned Bloom Filter NeurIPS 2023 Fast Point Cloud Generation With Straight Flows CVPR 2023 Fast Rates for Maximum Entropy Exploration ICML 2023 Fast Sampling of Diffusion Models with Exponential Integrator ICLR 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023