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)

Discrete Copula Diffusion ICLR 2025 Discrete Curvature Graph Information Bottleneck AAAI 2025 Discrete Neural Algorithmic Reasoning ICML 2025 Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators ICLR 2025 Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data ICML 2025 Discriminative Policy Optimization for Token-Level Reward Models ICML 2025 Discursive Circuits: How Do Language Models Understand Discourse Relations? EMNLP 2025 Disentangled Graph Spectral Domain Adaptation ICML 2025 Disentangled Information Bottleneck for Adversarial Text Defense EMNLP 2025 Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 Disentangle to Decay: Linear Attention with Trainable Decay Factor COLING 2025 Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms EMNLP 2025 Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality CVPR 2025 DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction ICLR 2025 Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study EMNLP 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization AISTATS 2025 Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation COLING 2025 Distance-Based Tree-Sliced Wasserstein Distance ICLR 2025 Distance Estimation for High-Dimensional Discrete Distributions AISTATS 2025 DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing ICCV 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025 Distilling Long-tailed Datasets CVPR 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models ICCV 2025 Distilling Rule-based Knowledge into Large Language Models COLING 2025 Distilling the Knowledge in Data Pruning ICML 2025