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)

Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective ICLR 2024 Diffusion Posterior Sampling is Computationally Intractable ICML 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Diffusion Sampling with Momentum for Mitigating Divergence Artifacts ICLR 2024 Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation Interspeech 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations ICML 2024 Diffusive Gibbs Sampling ICML 2024 DiffusPoll: Conditional Text Diffusion Model for Poll Generation ACL 2024 DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation NAACL 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 Dimension-free deterministic equivalents and scaling laws for random feature regression NeurIPS 2024 Dimension-free Structured Covariance Estimation COLT 2024 DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models ICML 2024 DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NeurIPS 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Directional Smoothness and Gradient Methods: Convergence and Adaptivity NeurIPS 2024 Directly Fine-Tuning Diffusion Models on Differentiable Rewards ICLR 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits NeurIPS 2024 Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding NAACL 2024 Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation MLHC 2024 Direct Preference Optimization with an Offset ACL 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design ICML 2024