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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)

Taxonomizing local versus global structure in neural network loss landscapes NeurIPS 2021 Taxonomy Completion via Triplet Matching Network AAAI 2021 Taylor Expansion of Discount Factors ICML 2021 Teacher Guided Neural Architecture Search for Face Recognition AAAI 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NeurIPS 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021 Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance AAAI 2021 Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement Interspeech 2021 Temporal Difference Learning as Gradient Splitting ICML 2021 Temporal Heterogeneous Information Network Embedding IJCAI 2021 Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings NAACL 2021 Temporally Correlated Task Scheduling for Sequence Learning ICML 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity NeurIPS 2021 Tensor Networks for Probabilistic Sequence Modeling AISTATS 2021 Tensor Normal Training for Deep Learning Models NeurIPS 2021 Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics ICML 2021 Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks ICML 2021 Tent: Fully Test-Time Adaptation by Entropy Minimization ICLR 2021 TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models ICML 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 Testification of Condorcet Winners in dueling bandits UAI 2021 Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021 Testing Product Distributions: A Closer Look ALT 2021 Test-time Collective Prediction NeurIPS 2021