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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
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2000
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Papers (including subtopics)

High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks CVPR 2020 Highly smooth minimization of non-smooth problems COLT 2020 High probability guarantees for stochastic convex optimization COLT 2020 High Throughput Cryptocurrency Routing in Payment Channel Networks NSDI 2020 HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets AAAI 2020 History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms ICML 2020 Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020 HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020 H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks NeurIPS 2020 How Can Self-Attention Networks Recognize Dyck-n Languages? EMNLP 2020 How Can We Accelerate Progress Towards Human-like Linguistic Generalization? ACL 2020 How coherent are neural models of coherence? COLING 2020 How Decoding Strategies Affect the Verifiability of Generated Text EMNLP 2020 How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study MIDL 2020 How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020 How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? NeurIPS 2020 How Good is SGD with Random Shuffling? COLT 2020 How hard is to distinguish graphs with graph neural networks? NeurIPS 2020 How many samples is a good initial point worth in Low-rank Matrix Recovery? NeurIPS 2020 How much Position Information Do Convolutional Neural Networks Encode? ICLR 2020 How Ordinal Are Your Data? Interspeech 2020 How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics AAAI 2020 How To Backdoor Federated Learning AISTATS 2020 How to Characterize The Landscape of Overparameterized Convolutional Neural Networks NeurIPS 2020 How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation CoNLL 2020