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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
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828
3,646
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2000
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Papers (including subtopics)

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024 PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs ACL 2024 PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification AAAI 2024 PointMamba: A Simple State Space Model for Point Cloud Analysis NeurIPS 2024 Poisson Variational Autoencoder NeurIPS 2024 Policy Aggregation NeurIPS 2024 Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks JMLR 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games NeurIPS 2024 Polynomial Width is Sufficient for Set Representation with High-dimensional Features ICLR 2024 PolyWER: A Holistic Evaluation Framework for Code-Switched Speech Recognition EMNLP 2024 Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024 Poor-Supervised Evaluation for SuperLLM via Mutual Consistency ACL 2024 PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION ICLR 2024 PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training ICLR 2024 PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization CVPR 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure NeurIPS 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning ICML 2024