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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check EMNLP 2025 Scaling Laws for Differentially Private Language Models ICML 2025 Scaling Laws for Downstream Task Performance in Machine Translation ICLR 2025 Scaling Laws for Multilingual Language Models ACL 2025 Scaling Laws for Precision ICLR 2025 Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation NAACL 2025 Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning ICLR 2025 Scaling Optimal LR Across Token Horizons ICLR 2025 Scaling ResNets in the Large-depth Regime JMLR 2025 Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text EMNLP 2025 Scaling Species Diversity Analysis in Carbon Credit Projects with Large-Context LLMs ACL 2025 Scaling Speech-Text Pre-training with Synthetic Interleaved Data ICLR 2025 Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study ICLR 2025 Scaling Test-Time Compute Without Verification or RL is Suboptimal ICML 2025 Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025 Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025 ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025 SCBench: A KV Cache-Centric Analysis of Long-Context Methods ICLR 2025 Scenario-Based Robust Optimization of Tree Structures AAAI 2025 Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings ICCV 2025 SceneGenAgent: Precise Industrial Scene Generation with Coding Agent ACL 2025 Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025 SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification ICML 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025