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Mathematics

5,735 papers (8 classified directly here)

Subtopics

Graph Theory (1,376) Statistics (1,273) Probability (1,045) Geometry (720) Information Theory (498) Discrete Mathematics (484) Linear Algebra (480) Numerical Analysis (349) Algebra (68) Signal Processing (67) Topology (41) Functional Analysis (23) Logic (13) Differential Equations (6)

Papers per year

11
57
247
551
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Papers (including subtopics)

Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
The Power of Literal Equivalence in Model Counting AAAI 2021
Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites IJCAI 2021
Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path AAAI 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NIPS 2021
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression AISTATS 2021
Efficient Balanced Treatment Assignments for Experimentation AISTATS 2021
Sharp Impossibility Results for Hyper-graph Testing NIPS 2021
Impossibility of Partial Recovery in the Graph Alignment Problem COLT 2021
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021
On-the-fly Synthesis for LTL over Finite Traces AAAI 2021
Adaptive estimation of nonparametric functionals JMLR 2021
Efficient Real-Time Radial Distortion Correction for UAVs WACV 2021
Equitable and Optimal Transport with Multiple Agents AISTATS 2021
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality ICML 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021
Revisiting the Uniform Information Density Hypothesis EMNLP 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021
CountSketches, Feature Hashing and the Median of Three ICML 2021