Optimization

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024 KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts NeurIPS 2024 Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NeurIPS 2024 Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models PGM 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models ICML 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024 Knowledge Editing in Language Models via Adapted Direct Preference Optimization EMNLP 2024 Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic COLING 2024 Knowledge Graph Completion by Intermediate Variables Regularization NeurIPS 2024 Known Knowns and Unknowns: Near-realtime Earth Observation Via Query Bifurcation in Serval NSDI 2024 KPConvX: Modernizing Kernel Point Convolution with Kernel Attention CVPR 2024 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NeurIPS 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 L0-Sampler: An L0 Model Guided Volume Sampling for NeRF CVPR 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming ICLR 2024 LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024