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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 the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning EMNLP 2020 Understanding the Role of Training Regimes in Continual Learning NeurIPS 2020 Understanding the Source of Semantic Regularities in Word Embeddings CoNLL 2020 Understanding Why Neural Networks Generalize Well Through GSNR of Parameters ICLR 2020 Unfolding recurrence by Green’s functions for optimized reservoir computing NeurIPS 2020 Unfolding the Alternating Optimization for Blind Super Resolution NeurIPS 2020 Uniform Convergence of Rank-weighted Learning ICML 2020 Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks NeurIPS 2020 Unifying Input and Output Smoothing in Neural Machine Translation COLING 2020 UniHD@CL-SciSumm 2020: Citation Extraction as Search EMNLP 2020 UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation EMNLP 2020 Unique Properties of Flat Minima in Deep Networks ICML 2020 Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020 Universal Adversarial Training AAAI 2020 Universal Approximation with Certified Networks ICLR 2020 Universal Approximation with Deep Narrow Networks COLT 2020 Universal Average-Case Optimality of Polyak Momentum ICML 2020 Universal Equivariant Multilayer Perceptrons ICML 2020 Universal guarantees for decision tree induction via a higher-order splitting criterion NeurIPS 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020 Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks ICML 2020 Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics Interspeech 2020 Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020