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

Agnostic Learnability of Halfspaces via Logistic Loss ICML 2022 A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions NeurIPS 2022 AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators NeurIPS 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations WACV 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 Ahmed and Khalil at NADI 2022: Transfer Learning and Addressing Class Imbalance for Arabic Dialect Identification and Sentiment Analysis EMNLP 2022 AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society IJCAI 2022 Air tissue boundary segmentation using regional loss in real-time Magnetic Resonance Imaging video for speech production Interspeech 2022 A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs ICLR 2022 AK: Attentive Kernel for Information Gathering RSS 2022 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning With Pairwise Alignment CVPR 2022 A Lagrangian Duality Approach to Active Learning NeurIPS 2022 A Langevin-like Sampler for Discrete Distributions ICML 2022 A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022 A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles RSS 2022 Algorithmic Diversity and Tiny Models: Comparing Binary Networks and the Fruit Fly Algorithm on Document Representation Tasks EMNLP 2022 Algorithms and Hardness for Learning Linear Thresholds from Label Proportions NeurIPS 2022 Algorithms for learning a mixture of linear classifiers ALT 2022 Algorithms for the Communication of Samples ICML 2022 Algorithms for Weighted Pushdown Automata EMNLP 2022 Algorithms with Prediction Portfolios NeurIPS 2022 Aligning Generative Language Models with Human Values NAACL 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NeurIPS 2022