Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
8
13
8
24
100
100
125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
AISTATS 2021
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
IJCAI 2020
A Bandit Learning Algorithm and Applications to Auction Design
NeurIPS 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract)
AAAI 2020
A/B Testing in Dense Large-Scale Networks: Design and Inference
NeurIPS 2020
A Catalyst Framework for Minimax Optimization
NeurIPS 2020
Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization
AISTATS 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
AISTATS 2020
Accelerated Stochastic Gradient-free and Projection-free Methods
ICML 2020
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
AAAI 2020
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
AAAI 2020
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection
AAAI 2020
Accelerating Smooth Games by Manipulating Spectral Shapes
AISTATS 2020
Accelerating Stratified Sampling SGD by Reconstructing Strata
IJCAI 2020
Acceleration through spectral density estimation
ICML 2020
Acceleration with a Ball Optimization Oracle
NeurIPS 2020
Accurate polyglot semantic parsing with DAG grammars
EMNLP 2020
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation
CVPR 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
AAAI 2020
A Class of Algorithms for General Instrumental Variable Models
NeurIPS 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
JMLR 2020
A Complete Characterization of Projectivity for Statistical Relational Models
IJCAI 2020
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
NeurIPS 2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
AISTATS 2020