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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)

Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory JMLR 2021 Understanding self-supervised learning dynamics without contrastive pairs ICML 2021 Understanding the Behaviour of Contrastive Loss CVPR 2021 Understanding the Dynamics of Gradient Flow in Overparameterized Linear models ICML 2021 Understanding the Effect of Bias in Deep Anomaly Detection IJCAI 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Understanding the effects of data parallelism and sparsity on neural network training ICLR 2021 Understanding the failure modes of out-of-distribution generalization ICLR 2021 Understanding the Generalization Benefit of Model Invariance from a Data Perspective NeurIPS 2021 Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning NeurIPS 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Understanding the role of importance weighting for deep learning ICLR 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation NeurIPS 2021 Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021 Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021 UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning EACL 2021 UnICORNN: A recurrent model for learning very long time dependencies ICML 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding ACL 2021 Uniform Concentration Bounds toward a Unified Framework for Robust Clustering NeurIPS 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021 Uniform Convergence, Adversarial Spheres and a Simple Remedy ICML 2021 Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting NeurIPS 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Unifying Clustered and Non-stationary Bandits AISTATS 2021