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Papers

Knowledge Distillation Performs Partial Variance Reduction NeurIPS 2023 Koopman Kernel Regression NeurIPS 2023 KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NeurIPS 2023 L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023 Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization ACL 2023 LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding AAAI 2023 LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite NeurIPS 2023 Landscape Learning for Neural Network Inversion ICCV 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NeurIPS 2023 Language Model Decoding as Likelihood–Utility Alignment EACL 2023 Language to Rewards for Robotic Skill Synthesis CoRL 2023 Large Selective Kernel Network for Remote Sensing Object Detection ICCV 2023 Large-State Reinforcement Learning for Hyper-Heuristics AAAI 2023 Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs NeurIPS 2023 LAVA: Data Valuation without Pre-Specified Learning Algorithms ICLR 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023 Lazy-k Decoding: Constrained Decoding for Information Extraction EMNLP 2023 Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023 Learned Compressive Representations for Single-Photon 3D Imaging ICCV 2023 Learning Activation Functions for Sparse Neural Networks AutoML 2023 Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints AAAI 2023