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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)

Training-Free Activation Sparsity in Large Language Models ICLR 2025 Training-free and Adaptive Sparse Attention for Efficient Long Video Generation ICCV 2025 Training-Free Diffusion Model Alignment with Sampling Demons ICLR 2025 Training Free Guided Flow-Matching with Optimal Control ICLR 2025 Training-Free Medical Image Inverses via Bi-Level Guided Diffusion Models WACV 2025 Training-Free Message Passing for Learning on Hypergraphs ICLR 2025 Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights CVPR 2025 Training Language Models to Self-Correct via Reinforcement Learning ICLR 2025 Training Long-Context LLMs Efficiently via Chunk-wise Optimization ACL 2025 Training One-Dimensional Graph Neural Networks is NP-Hard ICLR 2025 Training on the Benchmark Is Not All You Need AAAI 2025 Training on the Test Task Confounds Evaluation and Emergence ICLR 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025 Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks OSDI 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025 Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025 Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM CVPR 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025 Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 Transferrable Surrogates in Expressive Neural Architecture Search Spaces AutoML 2025 Transformative or Conservative? Conservation laws for ResNets and Transformers ICML 2025 Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning ICLR 2025 Transformer Meets Twicing: Harnessing Unattended Residual Information ICLR 2025 Transformers are Universal In-context Learners ICLR 2025