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Optimization

1184 directly classified papers

Papers per year

Papers

Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods EMNLP 2024
Efficient Dataset Distillation via Minimax Diffusion CVPR 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Streamlining Conformal Information Retrieval via Score Refinement EMNLP 2024
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024
D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024
Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes JMLR 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance ACL 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024
A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024
Solving Attention Kernel Regression Problem via Pre-conditioner AISTATS 2024
Fair Participation via Sequential Policies AAAI 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
How Do You Want Your Greedy: Simultaneous or Repeated? JMLR 2023
Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023