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Methodology
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Mathematics & Optimization
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Probability
1043 directly classified papers
Papers per year
2003: 1
2004: 1
2005: 4
2006: 5
2007: 10
2008: 12
2009: 11
2010: 15
2011: 11
2012: 32
2013: 34
2014: 39
2015: 31
2016: 35
2017: 63
2018: 65
2019: 72
2020: 113
2021: 116
2022: 113
2023: 118
2024: 108
2025: 27
2026: 7
Papers
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NIPS 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev
NIPS 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
ICML 2020
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
ICML 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
ICML 2020
Adversarial Risk via Optimal Transport and Optimal Couplings
ICML 2020
Generalised Bayesian Filtering via Sequential Monte Carlo
NIPS 2020
On the Similarity between the Laplace and Neural Tangent Kernels
NIPS 2020
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
ICML 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions
NIPS 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
NIPS 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
NIPS 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs
AAAI 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NIPS 2020
Non-separable Non-stationary random fields
ICML 2020
Can We Predict the Election Outcome from Sampled Votes?
AAAI 2020
Distance-Based Equilibria in Normal-Form Games
AAAI 2020
Free Energy Wells and Overlap Gap Property in Sparse PCA
COLT 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
COLT 2020
Bessel Smoothing and Multi-Distribution Property Estimation
COLT 2020
Recovering Causal Structures from Low-Order Conditional Independencies
AAAI 2020
Extrapolating the profile of a finite population
COLT 2020
Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions
AISTATS 2020
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions
AISTATS 2020
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