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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)

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025 The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations ICML 2025 The Gradient of Algebraic Model Counting AAAI 2025 The Hidden Attention of Mamba Models ACL 2025 The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP 2025 The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation CVPR 2025 The impact of allocation strategies in subset learning on the expressive power of neural networks ICLR 2025 The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks ICML 2025 The Importance of Being Lazy: Scaling Limits of Continual Learning ICML 2025 The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models ICCV 2025 The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions CLeaR 2025 The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage ACL 2025 The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws ICLR 2025 The KoLMogorov Test: Compression by Code Generation ICLR 2025 The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks COLT 2025 The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination ACL 2025 The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025 The Linguistic Connectivities Within Large Language Models ACL 2025 The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure AISTATS 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 The Optimization Landscape of SGD Across the Feature Learning Strength ICLR 2025 Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem IJCAI 2025 Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding ACL 2025 Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS 2025