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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)

Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 Ridgeless Regression with Random Features IJCAI 2022 RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NeurIPS 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 RIGA at SemEval-2022 Task 1: Scaling Recurrent Neural Networks for CODWOE Dictionary Modeling SemEval 2022 Risk-Averse No-Regret Learning in Online Convex Games ICML 2022 Risk-Aware Stochastic Shortest Path AAAI 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime NeurIPS 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 RL with KL penalties is better viewed as Bayesian inference EMNLP 2022 RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks NeurIPS 2022 RNN-T lattice enhancement by grafting of pruned paths Interspeech 2022 RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks RSS 2022 Robust φ-Divergence MDPs NeurIPS 2022 Robust Action Gap Increasing with Clipped Advantage Learning AAAI 2022 Robust and Accurate Superquadric Recovery: A Probabilistic Approach CVPR 2022 Robust and Scalable SDE Learning: A Functional Perspective ICLR 2022 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022