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)

Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Differentially Private Next-Token Prediction of Large Language Models NAACL 2024 Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates ALT 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement NeurIPS 2024 Differentially Private Topological Data Analysis JMLR 2024 Differentially Private Worst-group Risk Minimization ICML 2024 Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features NeurIPS 2024 DiffLoc: Diffusion Model for Outdoor LiDAR Localization CVPR 2024 DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction CVPR 2024 DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation NeurIPS 2024 DiffSED: Sound Event Detection with Denoising Diffusion AAAI 2024 DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation ICLR 2024 DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning NeurIPS 2024 Diffusion-based Curriculum Reinforcement Learning NeurIPS 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NeurIPS 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Diffusion Models With Learned Adaptive Noise NeurIPS 2024 Diffusion Models Without Attention CVPR 2024 DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models ICLR 2024 DiffusionPDE: Generative PDE-Solving under Partial Observation NeurIPS 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024