Yuxin Chen

Affiliations:
  • University of Chicago, Department of Computer Science, IL, USA
  • California Institute of Technology, Department of Computing & Mathematical Sciences, Pasadena, CA, USA
  • ETZ Zurich, Switzerland (PhD 2017)


According to our database1, Yuxin Chen authored at least 76 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes.
CoRR, 2024

Direct Acquisition Optimization for Low-Budget Active Learning.
CoRR, 2024

Enhancing Instance-Level Image Classification with Set-Level Labels.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Blending Imitation and Reinforcement Learning for Robust Policy Improvement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Don't Be Pessimistic Too Early: Look K Steps Ahead!
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Model-based Policy Optimization under Approximate Bayesian Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Online learning of energy consumption for navigation of electric vehicles.
Artif. Intell., April, 2023

Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints.
CoRR, 2023

Towards a General Video-based Keystroke Inference Attack.
Proceedings of the 32nd USENIX Security Symposium, 2023

Efficient Online Decision Tree Learning with Active Feature Acquisition.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Active Policy Improvement from Multiple Black-box Oracles.
Proceedings of the International Conference on Machine Learning, 2023

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Human-Compatible Representations for Case-Based Decision Support.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Cost-Effective Online Contextual Model Selection.
CoRR, 2022

Learning Representation for Bayesian Optimization with Collision-free Regularization.
CoRR, 2022

Rethinking Explainability as a Dialogue: A Practitioner's Perspective.
CoRR, 2022

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Trip Prediction by Leveraging Trip Histories from Neighboring Users.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Optimizing Decision Making via Submodular Surrogates.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Class-wise Thresholding for Robust Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing.
CoRR, 2021

Class-wise Thresholding for Detecting Out-of-Distribution Data.
CoRR, 2021

Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities.
CoRR, 2021

Teaching an Active Learner with Contrastive Examples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding the Effect of Bias in Deep Anomaly Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning to Make Decisions via Submodular Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

User Authentication via Electrical Muscle Stimulation.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Demonstrating User Authentication via Electrical Muscle Stimulation.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

The Teaching Dimension of Kernel Perceptron.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Preference-Based Batch and Sequential Teaching.
CoRR, 2020

Using Ensemble Classifiers to Detect Incipient Anomalies.
CoRR, 2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI.
CoRR, 2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
CoRR, 2020

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries.
CoRR, 2020

Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences.
CoRR, 2020

Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Understanding the Power and Limitations of Teaching with Imperfect Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Demonstrating Wearable Microphone Jamming.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Wearable Microphone Jamming.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.
CoRR, 2019

Understanding the Effectiveness of Ultrasonic Microphone Jammer.
CoRR, 2019

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Teaching Multiple Concepts to a Forgetful Learner.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Landmark Ordinal Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Barrier Certificates for Assured Machine Teaching.
Proceedings of the 2019 American Control Conference, 2019

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes.
CoRR, 2018

Adversarial WiFi Sensing.
CoRR, 2018

Seeding Deep Learning using Wireless Localization.
CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.
CoRR, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Teaching Categories to Human Learners With Visual Explanations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Near-optimal Adaptive Information Acquisition: Theory and Applications.
PhD thesis, 2017

Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Learning Shape Analysis.
Proceedings of the Static Analysis - 24th International Symposium, 2017

Near-optimal Bayesian Active Learning with Correlated and Noisy Tests.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015
Sequential Information Maximization: When is Greedy Near-optimal?
Proceedings of The 28th Conference on Learning Theory, 2015

Submodular Surrogates for Value of Information.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Active Detection via Adaptive Submodularity.
Proceedings of the 31th International Conference on Machine Learning, 2014

Near Optimal Bayesian Active Learning for Decision Making.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features.
IEEE Trans. Knowl. Data Eng., 2013

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
IPKB: a digital library for invertebrate paleontology.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

S2A: secure smart household appliances.
Proceedings of the Second ACM Conference on Data and Application Security and Privacy, 2012

2011
Privacy Preserving Group Linkage.
Proceedings of the Scientific and Statistical Database Management, 2011

Cephalometric Landmark Tracing Using Deformable Templates.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

2010
iLike: integrating visual and textual features for vertical search.
Proceedings of the 18th International Conference on Multimedia 2010, 2010


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