Optimization

Distributed Event-Based Learning via ADMM ICML 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference ICLR 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls UAI 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML 2025 Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation ICLR 2025 Distribution Estimation under the Infinity Norm JMLR 2025 DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025 Diverse Rare Sample Generation with Pretrained GANs AAAI 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents EMNLP 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 DLP: Dynamic Layerwise Pruning in Large Language Models ICML 2025 DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective EMNLP 2025 DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction AACL 2025 DLTKG: Denoising Logic-based Temporal Knowledge Graph Reasoning EMNLP 2025 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ICLR 2025 Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space ICML 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls ACL 2025 Don’t Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation ACL 2025