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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)

Vocal Biomarker Assessment Following Pediatric Traumatic Brain Injury: A Retrospective Cohort Study Interspeech 2019 VoiceID Loss: Speech Enhancement for Speaker Verification Interspeech 2019 Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019 V-to-V Coarticulation Induced Acoustic and Articulatory Variability of Vowels: The Effect of Pitch-Accent Interspeech 2019 Wasserstein Barycenter Model Ensembling ICLR 2019 Wasserstein of Wasserstein Loss for Learning Generative Models ICML 2019 Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019 Weak Detection of Signal in the Spiked Wigner Model ICML 2019 Weak Supervision for Learning Discourse Structure EMNLP 2019 Weight Agnostic Neural Networks NeurIPS 2019 Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory AAAI 2019 Weighted Maxmin Fair Share Allocation of Indivisible Chores IJCAI 2019 Weighted Oblique Decision Trees AAAI 2019 What Can ResNet Learn Efficiently, Going Beyond Kernels? NeurIPS 2019 What Does BERT Learn about the Structure of Language? ACL 2019 What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019 What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019 What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models AAAI 2019 What is the Effect of Importance Weighting in Deep Learning? ICML 2019 What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis ICCV 2019 What Kind of Language Is Hard to Language-Model? ACL 2019 What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons EMNLP 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 When can unlabeled data improve the learning rate? COLT 2019 When does label smoothing help? NeurIPS 2019