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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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'25

Papers (including subtopics)

Trustworthy Machine Learning through Data-Specific Indistinguishability ICML 2025 Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies AAAI 2025 TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting ICLR 2025 TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization ICML 2025 TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond CVPR 2025 TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack ICML 2025 Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees UAI 2025 Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis ICLR 2025 Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG UAI 2025 Tuning Frequency Bias of State Space Models ICLR 2025 Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization ICML 2025 Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks CVPR 2025 Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling ACL 2025 Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025 Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025 Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way AISTATS 2025 u-μP: The Unit-Scaled Maximal Update Parametrization ICLR 2025 UCSC at SemEval-2025 Task 8: Question Answering over Tabular Data SemEval 2025 UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models ICLR 2025 U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening CVPR 2025 ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025 ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation EMNLP 2025 Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning AAAI 2025 Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer AAAI 2025