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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)

Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020 Taylor Expansion Policy Optimization ICML 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 Tchebycheff Procedure for Multi-task Text Classification ACL 2020 Teaching with Limited Information on the Learner’s Behaviour ICML 2020 TeaForN: Teacher-Forcing with N-grams EMNLP 2020 Template-Based Automatic Search of Compact Semantic Segmentation Architectures WACV 2020 Temporal Interlacing Network AAAI 2020 Temporal Logics Over Finite Traces with Uncertainty AAAI 2020 Temporally-Informed Analysis of Named Entity Recognition ACL 2020 Temporal Planning with Intermediate Conditions and Effects AAAI 2020 Temporal Pyramid Recurrent Neural Network AAAI 2020 Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks NeurIPS 2020 Temporal Variability in Implicit Online Learning NeurIPS 2020 Tensorized Random Projections AISTATS 2020 Tensor Networks for Medical Image Classification MIDL 2020 Tensor Train Decomposition on TensorFlow (T3F) JMLR 2020 TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation COLING 2020 Testing Configuration Changes in Context to Prevent Production Failures OSDI 2020 Testing Determinantal Point Processes NeurIPS 2020 Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020 Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference ACL 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 TextNAS: A Neural Architecture Search Space Tailored for Text Representation AAAI 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020