Optimization

Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers ICML 2023 Loss Balancing for Fair Supervised Learning ICML 2023 Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023 Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent ICLR 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models COLT 2023 Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023 Low Tensor Rank Learning of Neural Dynamics NeurIPS 2023 Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023 LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023 LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs ICCV 2023 LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression CVPR 2023 M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery NeurIPS 2023 MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts AutoML 2023 Macro Placement by Wire-Mask-Guided Black-Box Optimization NeurIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network NeurIPS 2023 Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023 MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023 MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters ICCV 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 Markup-to-Image Diffusion Models with Scheduled Sampling ICLR 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Masked Wavelet Representation for Compact Neural Radiance Fields CVPR 2023 Mastering Spatial Graph Prediction of Road Networks ICCV 2023