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07/13/2023
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted re...
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05/15/2023
Double-Weighting for Covariate Shift Adaptation
Supervised learning is often affected by a covariate shift in which the ...
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02/13/2023
Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts
Prevalent deep learning models suffer from significant over-confidence u...
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02/01/2023
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity
It can be difficult to identify trends and perform quality control in la...
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12/23/2022
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection
Task-oriented dialog(TOD) aims to assist users in achieving specific goa...
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12/06/2022
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling
Autonomous cars are indispensable when humans go further down the hands-...
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10/06/2022
Ambiguous Images With Human Judgments for Robust Visual Event Classification
Contemporary vision benchmarks predominantly consider tasks on which hum...
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10/03/2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads
Hip fracture risk assessment is an important but challenging task. Quant...
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07/26/2022
Repeated Environment Inference for Invariant Learning
We study the problem of invariant learning when the environment labels a...
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07/21/2022
JAWS: Predictive Inference Under Covariate Shift
We propose JAWS, a series of wrapper methods for distribution-free uncer...
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02/24/2021
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
Tracking and collecting fast-evolving online discussions provides vast d...
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01/17/2021
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
Discovering the complete set of causal relations among a group of variab...
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10/11/2020
Robust Fairness under Covariate Shift
Making predictions that are fair with regard to protected group membersh...
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10/08/2020
Distributionally Robust Learning for Unsupervised Domain Adaptation
We propose a distributionally robust learning (DRL) method for unsupervi...
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07/16/2020
Active Learning under Label Shift
Distribution shift poses a challenge for active data collection in the r...
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05/09/2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
Learning-based control algorithms require collection of abundant supervi...
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11/13/2019
Triply Robust Off-Policy Evaluation
We propose a robust regression approach to off-policy evaluation (OPE) f...
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11/13/2019
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
Online harassment is a significant social problem. Prevention of online ...
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06/13/2019
Robust Regression for Safe Exploration in Control
We study the problem of safe learning and exploration in sequential cont...
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06/13/2019
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning
We model human decision-making behaviors in a risk-taking task using inv...
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03/22/2019
Regularized Learning for Domain Adaptation under Label Shifts
We propose Regularized Learning under Label shifts (RLLS), a principled ...
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12/18/2018
Consistent Robust Adversarial Prediction for General Multiclass Classification
We propose a robust adversarial prediction framework for general multicl...
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12/28/2017
Kernel Robust Bias-Aware Prediction under Covariate Shift
Under covariate shift, training (source) data and testing (target) data ...
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12/28/2017