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Papers
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
NeurIPS 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection
WACV 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
Compression, Generalization and Learning
JMLR 2023
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
AISTATS 2022
Universalizing Weak Supervision
ICLR 2022
Consistent Estimators for Learning to Defer to an Expert
ICML 2020
Differentially Private Database Release via Kernel Mean Embeddings
ICML 2018
Human Interaction with Recommendation Systems
AISTATS 2018
Consistent and Efficient Nonparametric Different-Feature Selection
AISTATS 2017
Consistent Robust Regression
NeurIPS 2017
Deterministic Independent Component Analysis
ICML 2015
Graphical Models for Inference with Missing Data
NeurIPS 2013
Spectral Experts for Estimating Mixtures of Linear Regressions
ICML 2013
Regression for sets of polynomial equations
AISTATS 2012
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
AISTATS 2012