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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)

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers ICCV 2023 DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models EMNLP 2023 Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences AAAI 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023 Diffusion Models Beat GANs on Topology Optimization AAAI 2023 Diffusion Models for Black-Box Optimization ICML 2023 Diffusion Probabilistic Fields ICLR 2023 Diffusion Schrödinger Bridge Matching NeurIPS 2023 Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 Dimensionality Reduction for General KDE Mode Finding ICML 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing ICML 2023 Dimensionless machine learning: Imposing exact units equivariance JMLR 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023 Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting ACL 2023 Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data NeurIPS 2023 Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing AAAI 2023 Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms NeurIPS 2023 Direct Parameterization of Lipschitz-Bounded Deep Networks ICML 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 DiscoBAX: Discovery of optimal intervention sets in genomic experiment design ICML 2023 DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023