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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)

Anarchic Federated Learning ICML 2022 An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem NeurIPS 2022 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 A Native Qualitative Numeric Planning Solver Based on AND/OR Graph Search IJCAI 2022 A Natural Actor-Critic Framework for Zero-Sum Markov Games ICML 2022 Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NeurIPS 2022 An EF2X Allocation Protocol for Restricted Additive Valuations IJCAI 2022 An Efficient Minimax Optimal Estimator For Multivariate Convex Regression COLT 2022 An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022 An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022 An empirical analysis of compute-optimal large language model training NeurIPS 2022 An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models Interspeech 2022 An Empirical Study of Language Model Integration for Transducer based Speech Recognition Interspeech 2022 An Empirical Study of Memorization in NLP ACL 2022 An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022 An Empirical study to understand the Compositional Prowess of Neural Dialog Models ACL 2022 An Encoder Attribution Analysis for Dense Passage Retriever in Open-Domain Question Answering NAACL 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks ICML 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NeurIPS 2022 A Neural Tangent Kernel Perspective of GANs ICML 2022 A Neural Tangent Kernel Perspective of Infinite Tree Ensembles ICLR 2022 An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022 A New Family of Generalization Bounds Using Samplewise Evaluated CMI NeurIPS 2022