Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging NeurIPS 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022 Multi-Agent Intention Progression with Reward Machines IJCAI 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization NeurIPS 2022 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NeurIPS 2022 Multicalibrated Partitions for Importance Weights ALT 2022 Multi-Class H-Consistency Bounds NeurIPS 2022 Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data Interspeech 2022 Multiclass classification for Hawkes processes UAI 2022 Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization ACML 2022 Multi-class classification in nonparametric active learning AISTATS 2022 Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes NeurIPS 2022 Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Multi-Fidelity Best-Arm Identification NeurIPS 2022 Multi-fidelity Monte Carlo: a pseudo-marginal approach NeurIPS 2022 Multi-Granularity Optimization for Non-Autoregressive Translation EMNLP 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks IJCAI 2022 Multilevel Optimization for Inverse Problems COLT 2022 Multimodal Colored Point Cloud to Image Alignment CVPR 2022