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divide and conquer

48 papers

DAC

Papers

Cubing for Tuning AAAI 2026 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning ICML 2025 DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem AAAI 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 Accelerating Non-Maximum Suppression: A Graph Theory Perspective NeurIPS 2024 A Divide and Conquer Approach for Solving Structural Causal Models PGM 2024 Control Large Language Models via Divide and Conquer EMNLP 2024 Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation NeurIPS 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming ICML 2024 Embarrassingly Parallel GFlowNets ICML 2024 Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences ICML 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023 Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time ICLR 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 MathNAS: If Blocks Have a Role in Mathematical Architecture Design NeurIPS 2023 Variance-Aware Sparse Linear Bandits ICLR 2023 A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022 Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions JMLR 2022 Learning Logic Programs Though Divide, Constrain, and Conquer AAAI 2022 Divide and Conquer for Single-Frame Temporal Action Localization ICCV 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021