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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)

Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025 Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025 Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025 Memory or Reasoning? Explore How LLMs Compute Mixed Arithmetic Expressions ACL 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CoRL 2025 Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation ICML 2025 Mergenetic: a Simple Evolutionary Model Merging Library ACL 2025 Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering ICLR 2025 MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices AAAI 2025 MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training ICML 2025 metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models ICLR 2025 Meta-Continual Learning of Neural Fields ICLR 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025 Meta-Learning Neural Mechanisms rather than Bayesian Priors ACL 2025 Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving RSS 2025 META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models COLING 2025 MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences ICLR 2025 Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations ICLR 2025 Meta Optimality for Demographic Parity Constrained Regression via Post-Processing ICML 2025 MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters ICML 2025 Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity ICLR 2025