Mathematics
6,356 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
6
3
11
43
40
56
47
63
82
130
204
219
256
250
325
374
489
556
620
576
651
697
512
144
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Papers (including subtopics)
Distributionally Robust Parametric Maximum Likelihood Estimation
NeurIPS 2020
Diversified Bayesian Nonnegative Matrix Factorization
AAAI 2020
Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory
IJCAI 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
COLT 2020
Do Subsampled Newton Methods Work for High-Dimensional Data?
AAAI 2020
Dual Formulation of the Chordal Graph Conjecture
PGM 2020
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
EMNLP 2020
Dynamic Embedding on Textual Networks via a Gaussian Process
AAAI 2020
Dynamic Graph Representation for Occlusion Handling in Biometrics
AAAI 2020
Early and Efficient Identification of Useless Constraint Propagation for Alldifferent Constraints
IJCAI 2020
Effectively Unbiased FID and Inception Score and Where to Find Them
CVPR 2020
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
CVPR 2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
IJCAI 2020
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
CVPR 2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
NeurIPS 2020
Efficient Learning of Discrete Graphical Models
NeurIPS 2020
Efficient nonparametric statistical inference on population feature importance using Shapley values
ICML 2020
Efficient Parameter Estimation of Truncated Boolean Product Distributions
COLT 2020
Efficient Spectrum-Revealing CUR Matrix Decomposition
AISTATS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NeurIPS 2020
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
ICML 2020
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
IJCAI 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression
JMLR 2020
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid
AAAI 2020