Co-occurring keywords · papers mentioning both
Papers
Generalized Resubstitution for Regression Error Estimation
JMLR 2026
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
EMNLP 2025
Estimating Shape Distances on Neural Representations with Limited Samples
ICLR 2024
Distributed Statistical Inference under Heterogeneity
JMLR 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance
AAAI 2023
Tractable Optimality in Episodic Latent MABs
NeurIPS 2022
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
AISTATS 2021
Method of Moments for Topic Models with Mixed Discrete and Continuous Features
IJCAI 2021
Anchored Causal Inference in the Presence of Measurement Error
UAI 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
ICML 2020
Guaranteed Scalable Learning of Latent Tree Models
UAI 2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
NeurIPS 2019
Learning Two-layer Neural Networks with Symmetric Inputs
ICLR 2019
Learning Implicit Generative Models with the Method of Learned Moments
ICML 2018
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
NeurIPS 2018
Learning Determinantal Point Processes with Moments and Cycles
ICML 2017
Partitioned Tensor Factorizations for Learning Mixed Membership Models
ICML 2017
Consistently Estimating Markov Chains with Noisy Aggregate Data
AISTATS 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees
ACML 2016
PAC learning of Probabilistic Automaton based on the Method of Moments
ICML 2016
Spectral M-estimation with Applications to Hidden Markov Models
AISTATS 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure
NeurIPS 2016
Estimating Mixture Models via Mixtures of Polynomials
NeurIPS 2015
Estimating Latent-Variable Graphical Models using Moments and Likelihoods
ICML 2014