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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Limitless Stability for Graph Convolutional Networks ICLR 2023 Limits, approximation and size transferability for GNNs on sparse graphs via graphops NeurIPS 2023 Limits for learning with language models ACL 2023 Limits of Model Selection under Transfer Learning COLT 2023 Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies ICML 2023 Linear Connectivity Reveals Generalization Strategies ICLR 2023 Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Linear Reinforcement Learning with Ball Structure Action Space ALT 2023 Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023 Linear Time Algorithms for k-means with Multi-Swap Local Search NeurIPS 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023 Lipschitz constant estimation for 1D convolutional neural networks L4DC 2023 LipsFormer: Introducing Lipschitz Continuity to Vision Transformers ICLR 2023 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023 LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search IJCAI 2023 List and Certificate Complexities in Replicable Learning NeurIPS 2023 List Online Classification COLT 2023 Literary Intertextual Semantic Change Detection: Application and Motivation for Evaluating Models on Small Corpora EMNLP 2023