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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)

Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks NeurIPS 2023 Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks NeurIPS 2023 Initialization Noise in Image Gradients and Saliency Maps CVPR 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NeurIPS 2023 INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 In- or out-of-distribution detection via dual divergence estimation UAI 2023 Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023 Input uncertainty propagation through trained neural networks ICML 2023 In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation ICML 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023 Instance-Dependent Noisy Label Learning via Graphical Modelling WACV 2023 Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds CVPR 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Instrumental Processes Using Integrated Covariances CLeaR 2023 Integer Subspace Differential Privacy AAAI 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023 Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild AAAI 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NeurIPS 2023 Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NeurIPS 2023 Inter-connection: Effective Connection between Pre-trained Encoder and Decoder for Speech Translation Interspeech 2023 Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation ICLR 2023