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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)

Fully General Online Imitation Learning JMLR 2022 Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions ICML 2022 Functional Linear Regression with Mixed Predictors JMLR 2022 Function Classes for Identifiable Nonlinear Independent Component Analysis NeurIPS 2022 Function-space Inference with Sparse Implicit Processes ICML 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022 Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity AISTATS 2022 Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning RSS 2022 Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping CoRL 2022 Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems UAI 2022 FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction CVPR 2022 GAGA: Deciphering Age-path of Generalized Self-paced Regularizer NeurIPS 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements AAAI 2022 Game Design for Better Security of Combination Locks AAAI 2022 Gardner formula for Ising perceptron models at small densities COLT 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022 Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers ICML 2022 GATSBI: Generative Adversarial Training for Simulation-Based Inference ICLR 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Gaussian Process Boosting JMLR 2022 Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022