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Papers
ACE: Adapting sampling for Counterfactual Explanations
L4DC 2026
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
AAAI 2026
Online Adaptive Probabilistic Safety Certificate with Language Guidance
L4DC 2026
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery
AAAI 2026
PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
CVPR 2026
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
ICLR 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
JMLR 2025
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization
NAACL 2024
Bayesian Estimation of Differential Privacy
ICML 2023
Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning
JMLR 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data
AISTATS 2023
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
Interspeech 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores
JMLR 2022
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
NeurIPS 2022
Learning from Stochastically Revealed Preference
NeurIPS 2022
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics
CVPR 2022
Automatic Error Correction for Speaker Embedding Learning with Noisy Labels
Interspeech 2021
Quantile Graphical Models: a Bayesian Approach
JMLR 2020
Maximum a posteriori Speech Enhancement Based on Double Spectrum
Interspeech 2019
On the Use of Pitch Features for Disordered Speech Recognition
Interspeech 2019
RankME: Reliable Human Ratings for Natural Language Generation
NAACL 2018
Doubly Decomposing Nonparametric Tensor Regression
ICML 2016
A Statistical Decision-Theoretic Framework for Social Choice
NeurIPS 2014
Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions
JMLR 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
ICML 2014