Optimization

Distributionally Robust Optimization with Bias and Variance Reduction ICLR 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 Distribution-Aware Data Expansion with Diffusion Models NeurIPS 2024 Distribution Learning with Valid Outputs Beyond the Worst-Case NeurIPS 2024 DistrictNet: Decision-aware learning for geographical districting NeurIPS 2024 DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving OSDI 2024 DITTO: Diffusion Inference-Time T-Optimization for Music Generation ICML 2024 Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization NAACL 2024 Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec NeurIPS 2024 Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NeurIPS 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation ICML 2024 DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization CVPR 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NeurIPS 2024 DOGE: Domain Reweighting with Generalization Estimation ICML 2024 DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024 Domain Generalisation via Imprecise Learning ICML 2024 Domain Generalization by Rejecting Extreme Augmentations WACV 2024 Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts ICLR 2024 Domain-Weighted Batch Sampling for Neural Dependency Parsing COLING 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024