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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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'25

Papers (including subtopics)

A Competitive Algorithm for Agnostic Active Learning NeurIPS 2023 A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests ICML 2023 A Complete Recipe for Diffusion Generative Models ICCV 2023 A Comprehensive Evaluation of Biomedical Entity Linking Models EMNLP 2023 A Computationally Efficient Sparsified Online Newton Method NeurIPS 2023 A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NeurIPS 2023 A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 A constrained Bayesian approach to out-of-distribution prediction UAI 2023 A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023 Acoustic Sensing and Communication Using Metasurface NSDI 2023 A Critical Evaluation of Evaluations for Long-form Question Answering ACL 2023 A Cross-Moment Approach for Causal Effect Estimation NeurIPS 2023 ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation ICCV 2023 Actionable Neural Representations: Grid Cells from Minimal Constraints ICLR 2023 Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization IJCAI 2023 Action Space Reduction for Planning Domains IJCAI 2023 Active Coverage for PAC Reinforcement Learning COLT 2023 Active Exploration via Experiment Design in Markov Chains AISTATS 2023 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Active Negative Loss Functions for Learning with Noisy Labels NeurIPS 2023 Active Ranking of Experts Based on their Performances in Many Tasks ICML 2023