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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020 WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series IJCAI 2020 Weak Form Generalized Hamiltonian Learning NeurIPS 2020 Weakly-Supervised Action Localization by Generative Attention Modeling CVPR 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 Weston-Watkins Hinge Loss and Ordered Partitions NeurIPS 2020 What Can Neural Networks Reason About? ICLR 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 What Does Plate Glass Reveal About Camera Calibration? CVPR 2020 What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding EMNLP 2020 What graph neural networks cannot learn: depth vs width ICLR 2020 What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020 What if Neural Networks had SVDs? NeurIPS 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020 What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NeurIPS 2020 What shapes feature representations? Exploring datasets, architectures, and training NeurIPS 2020 What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020 What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination UAI 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020 When deep denoising meets iterative phase retrieval ICML 2020 When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment ICML 2020