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)

Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection WACV 2025 IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training ICLR 2025 If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation? ACL 2025 IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval NAACL 2025 Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning NAACL 2025 IG-Pruning: Input-Guided Block Pruning for Large Language Models EMNLP 2025 I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025 ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks IJCAI 2025 Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars ICCV 2025 Image Reconstruction from Readout-Multiplexed Single-Photon Detector Arrays CVPR 2025 Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation EMNLP 2025 Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks ICML 2025 Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression ICLR 2025 Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment ACL 2025 Implicit degree bias in the link prediction task ICML 2025 Implicit Diffusion: Efficient optimization through stochastic sampling AISTATS 2025 Implicit Reasoning in Transformers is Reasoning through Shortcuts ACL 2025 Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent ICML 2025 Implicit Riemannian Optimism with Applications to Min-Max Problems ICML 2025 Implicit Search via Discrete Diffusion: A Study on Chess ICLR 2025 Implicit Subgraph Neural Network ICML 2025 Implicit vs Unfolded Graph Neural Networks JMLR 2025 Importance Corrected Neural JKO Sampling ICML 2025 Importance Sampling for Nonlinear Models ICML 2025