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)

In-Context Reinforcement Learning From Suboptimal Historical Data ICML 2025 Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum ACML 2025 Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems ICML 2025 Independence Tests for Language Models ICML 2025 In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025 Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations ICML 2025 InfAlign: Inference-aware language model alignment ICML 2025 Inference Compute-Optimal Video Vision Language Models ACL 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters ICLR 2025 Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025 Inference Scaling for Long-Context Retrieval Augmented Generation ICLR 2025 Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving ICLR 2025 Inference-Time Alignment of Diffusion Models with Direct Noise Optimization ICML 2025 Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation ACL 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Influence-driven Curriculum Learning for Pre-training on Limited Data EMNLP 2025 Influence Functions for Scalable Data Attribution in Diffusion Models ICLR 2025 Influence of Room Acoustics on Objective Voice Assessment Methods in the Context of Speech and Language Therapy Interspeech 2025 Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles ACL 2025 InfoPO: On Mutual Information Maximization for Large Language Model Alignment NAACL 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025