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)

Participatory Budgeting: Data, Tools and Analysis IJCAI 2023 Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023 Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NeurIPS 2023 Particle-based Variational Inference with Preconditioned Functional Gradient Flow ICLR 2023 Parting with Misconceptions about Learning-based Vehicle Motion Planning CoRL 2023 Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023 PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification ICCV 2023 Patch-Level Gaze Distribution Prediction for Gaze Following WACV 2023 Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023 Path following algorithms for ℓ_2-regularized M-estimation with approximation guarantee NeurIPS 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023 Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks NeurIPS 2023 Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NeurIPS 2023 PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers NeurIPS 2023 PDP: Parameter-free Differentiable Pruning is All You Need NeurIPS 2023 PDPP:Projected Diffusion for Procedure Planning in Instructional Videos CVPR 2023 PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023 Penalising the biases in norm regularisation enforces sparsity NeurIPS 2023 Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation EMNLP 2023 Percentile Criterion Optimization in Offline Reinforcement Learning NeurIPS 2023 Perception for General-purpose Robot Manipulation AAAI 2023 Perceptronic Complexity and Online Matrix Completion ALT 2023 Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models Interspeech 2023 Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint NeurIPS 2023 Perfectly Secure Steganography Using Minimum Entropy Coupling ICLR 2023