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
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
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'10
'15
'20
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Papers (including subtopics)
Dynamic Assortment Optimization with Changing Contextual Information
JMLR 2020
Dynamic content based ranking
AISTATS 2020
Dynamic Control of Probabilistic Simple Temporal Networks
AAAI 2020
Dynamic Data Selection and Weighting for Iterative Back-Translation
EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation
EMNLP 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
CVPR 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
ICML 2020
Dynamic Model Pruning with Feedback
ICLR 2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
ACL 2020
Dynamic Programming for Predict+Optimise
AAAI 2020
Dynamic Regret of Convex and Smooth Functions
NeurIPS 2020
Dynamic Sampling Strategies for Multi-Task Reading Comprehension
ACL 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
ICML 2020
Dynamic Submodular Maximization
NeurIPS 2020
Dynamic Time Lag Regression: Predicting What & When
ICLR 2020
DYNOTEARS: Structure Learning from Time-Series Data
AISTATS 2020
Early Stage LM Integration Using Local and Global Log-Linear Combination
Interspeech 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
CVPR 2020
Editable Neural Networks
ICLR 2020
Effectively Unbiased FID and Inception Score and Where to Find Them
CVPR 2020
Effect of Activation Functions on the Training of Overparametrized Neural Nets
ICLR 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise
NeurIPS 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models
JMLR 2020
Efficient Adversarial Training With Transferable Adversarial Examples
CVPR 2020
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs
IJCAI 2020