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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)

An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits NeurIPS 2023 An Exploration of Left-Corner Transformations EMNLP 2023 An extension of disentanglement metrics and its application to voice Interspeech 2023 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023 An improved variational approximate posterior for the deep Wishart process UAI 2023 An Inductive Bias for Tabular Deep Learning NeurIPS 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023 An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech Interspeech 2023 An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NeurIPS 2023 An information-theoretic quantification of the content of communication between brain regions NeurIPS 2023 An Information Theory Perspective on Variance-Invariance-Covariance Regularization NeurIPS 2023 An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit ALT 2023 An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec Interspeech 2023 An Inverse Scaling Law for CLIP Training NeurIPS 2023 An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction EMNLP 2023 Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation IJCAI 2023 A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023 A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks ICLR 2023 An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023 A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization NeurIPS 2023 An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023