Optimization

Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models NeurIPS 2024 Scaling Convex Neural Networks with Burer-Monteiro Factorization ICLR 2024 ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024 Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement ICLR 2024 Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NeurIPS 2024 Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms NeurIPS 2024 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies NeurIPS 2024 Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024 Scaling physics-informed hard constraints with mixture-of-experts ICLR 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Supervised Local Learning with Augmented Auxiliary Networks ICLR 2024 Scaling the Convex Barrier with Sparse Dual Algorithms JMLR 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 Scaling Up Unbiased Search-based Symbolic Regression IJCAI 2024 Schrodinger Bridge Flow for Unpaired Data Translation NeurIPS 2024 Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024 Score Operator Newton transport AISTATS 2024 Score-Optimal Diffusion Schedules NeurIPS 2024 SCP: Spherical-Coordinate-Based Learned Point Cloud Compression AAAI 2024 SDAEC: Signal Decoupling for Advancing Acoustic Echo Cancellation Interspeech 2024 SDEs for Minimax Optimization AISTATS 2024 SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization AAAI 2024 SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution ICLR 2024 Search for Efficient Large Language Models NeurIPS 2024