conftrace_

divide and conquer

37 papers

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Also known as

DAC

Co-occurring keywords

distributed learning (563) kernel ridge regression (111) support vector machine (978) kernel methods (1097) large language model (13587) text generation (2913) combinatorial optimization (1039) clustering algorithm (206) graphical model (864) convergence rate (607)

Papers

Cubing for Tuning AAAI 2026
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem AAAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
Control Large Language Models via Divide and Conquer EMNLP 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation NIPS 2024
Accelerating Non-Maximum Suppression: A Graph Theory Perspective NIPS 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NIPS 2024
MathNAS: If Blocks Have a Role in Mathematical Architecture Design NIPS 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023
Least Squares Model Averaging for Distributed Data JMLR 2023
Learning Logic Programs Though Divide, Constrain, and Conquer AAAI 2022
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022
Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021
Stochastic Top-$K$ Subset Bandits with Linear Space and Non-Linear Feedback ALT 2021
Divide and Conquer for Single-Frame Temporal Action Localization ICCV 2021
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion JMLR 2020
Data-driven confidence bands for distributed nonparametric regression COLT 2020
Going Much Wider with Deep Networks for Image Super-Resolution WACV 2020
Divide and Conquer: From Complexity to Simplicity for Lay Summarization EMNLP 2020
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm AAAI 2020
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation CVPR 2020
Divide and Conquer the Embedding Space for Metric Learning CVPR 2019
Rates of Convergence for Large-scale Nearest Neighbor Classification NIPS 2019