Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

PLAN: Proactive Low-Rank Allocation for Continual Learning ICCV 2025 Plastic Learning with Deep Fourier Features ICLR 2025 Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference ICML 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets NAACL 2025 p-Mean Regret for Stochastic Bandits AAAI 2025 PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models IJCNLP 2025 PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025 PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning COLING 2025 Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains ICLR 2025 Policy Design for Two-sided Platforms with Participation Dynamics ICML 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 polybasic Speculative Decoding Through a Theoretical Perspective ICML 2025 PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization ICLR 2025 Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models ICLR 2025 Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems ICML 2025 Polynomial-Time Relational Probabilistic Inference in Open Universes IJCAI 2025 PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs ICLR 2025 Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025 POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation CVPR 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters AAAI 2025 Population Normalization for Federated Learning CVPR 2025 Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks ICLR 2025 PORT: Preference Optimization on Reasoning Traces NAACL 2025