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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Quantum Kernelized Bandits UAI 2024 Quantum Recurrent Architectures for Text Classification EMNLP 2024 QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs NeurIPS 2024 Quasi-Bayes meets Vines NeurIPS 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 QUDSELECT: Selective Decoding for Questions Under Discussion Parsing EMNLP 2024 Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM EMNLP 2024 Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL ICLR 2024 Query-Efficient Correlation Clustering with Noisy Oracle NeurIPS 2024 Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization EMNLP 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NeurIPS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Queuing dynamics of asynchronous Federated Learning AISTATS 2024 Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How ICLR 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 Racing Control Variable Genetic Programming for Symbolic Regression AAAI 2024 Rademacher complexity of neural ODEs via Chen-Fliess series L4DC 2024 Rad-NeRF: Ray-decoupled Training of Neural Radiance Field NeurIPS 2024 RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models ACL 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024