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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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Papers (including subtopics)

Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods ICLR 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 Sharpness-Aware Black-Box Optimization ICLR 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training ICLR 2025 Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations NAACL 2025 Sharpness-Aware Minimization: General Analysis and Improved Rates ICLR 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency ICML 2025 Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning ICLR 2025 ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect CVPR 2025 ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning ICCV 2025 ShortGPT: Layers in Large Language Models are More Redundant Than You Expect ACL 2025 Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding COLING 2025 SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025 SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings ICLR 2025 Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy AISTATS 2025 SiLQ: Simple Large Language Model Quantization-Aware Training IJCNLP 2025 Simple Policy Optimization ICML 2025 SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting ICLR 2025 Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025 Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025 Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction ICLR 2025 Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks ICML 2025 Simplification Is All You Need against Out-of-Distribution Overconfidence CVPR 2025 Simplifying Adversarially Robust PAC Learning With Tolerance COLT 2025