Probability
1,250 papers
Papers per year
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12
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16
13
33
34
42
35
38
63
65
75
111
122
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132
168
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22
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Papers
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
NeurIPS 2020
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
ICML 2020
On the Similarity between the Laplace and Neural Tangent Kernels
NeurIPS 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
JMLR 2020
On the Theoretical Properties of the Network Jackknife
ICML 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
ICML 2020
Optimal Bounds between f-Divergences and Integral Probability Metrics
ICML 2020
Parallels Between Phase Transitions and Circuit Complexity?
COLT 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions
NeurIPS 2020
Predicting Declension Class from Form and Meaning
ACL 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NeurIPS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization
NeurIPS 2020
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NeurIPS 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
AISTATS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms.
NeurIPS 2020
Recovering Causal Structures from Low-Order Conditional Independencies
AAAI 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size
JMLR 2020
Rigorous Guarantees for Tyler’s M-Estimator via Quantum Expansion
COLT 2020
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection
SemEval 2020
Robust Density Estimation under Besov IPM Losses
NeurIPS 2020
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
ICML 2020
Sampling from a k-DPP without looking at all items
NeurIPS 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations
UAI 2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
AISTATS 2020