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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)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 Rethinking Reward Modeling in Preference-based Large Language Model Alignment ICLR 2025 Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Rethinking the Role of Text Complexity in Language Model Pretraining EMNLP 2025 Rethinking the Temperature for Federated Heterogeneous Distillation ICML 2025 Retraining with Predicted Hard Labels Provably Increases Model Accuracy ICML 2025 Retrieval-Augmented Forecasting with Tabular Time Series Data ACL 2025 Retrieval Augmented Time Series Forecasting ICML 2025 Return Capping: Sample Efficient CVaR Policy Gradient Optimisation ICML 2025 Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces ICML 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up ACL 2025 Reverse Preference Optimization for Complex Instruction Following ACL 2025 Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion EMNLP 2025 Revisiting a Design Choice in Gradient Temporal Difference Learning ICLR 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness ICML 2025 Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning ICML 2025 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment ICCV 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025 Revisiting Interpolation for Noisy Label Correction AAAI 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025