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06/17/2023
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
This paper considers a single-trajectory system identification problem f...
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04/30/2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
Due to privacy or commercial constraints, large pre-trained language mod...
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04/12/2023
Label-Free Concept Bottleneck Models
Concept bottleneck models (CBM) are a popular way of creating more inter...
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03/02/2023
Variance-reduced Clipping for Non-convex Optimization
Gradient clipping is a standard training technique used in deep learning...
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02/16/2023
Group Fairness with Uncertainty in Sensitive Attributes
We consider learning a fair predictive model when sensitive attributes a...
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02/11/2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Deep neural networks (DNN) have shown great capacity of modeling a dynam...
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01/15/2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Automated AI classifiers should be able to defer the prediction to a hum...
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12/14/2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
It is known that neural networks have the problem of being over-confiden...
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05/18/2022
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics
Rapid technological innovation threatens to leave much of the global wor...
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04/14/2022
An alternative approach for distributed parameter estimation under Gaussian settings
This paper takes a different approach for the distributed linear paramet...
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03/07/2022
On observability and optimal gain design for distributed linear filtering and prediction
This paper presents a new approach to distributed linear filtering and p...
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02/07/2022
Evaluating Robustness of Cooperative MARL: A Model-based Approach
In recent years, a proliferation of methods were developed for cooperati...
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10/31/2021
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
We study the adaptive control of an unknown linear system with a quadrat...
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10/28/2021
Selective Regression Under Fairness Criteria
Selective regression allows abstention from prediction if the confidence...
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10/10/2020
Online Optimal Control with Affine Constraints
This paper considers online optimal control with affine constraints on t...
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07/02/2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Deploying deep reinforcement learning in safety-critical settings requir...
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06/23/2020
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
Out of the recent advances in systems and control (S&C)-based analysis o...
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06/18/2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models
Generative adversarial networks (GANs) learn the distribution of observe...
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06/15/2020
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges
Autonomous systems – such as self-driving cars, autonomous drones, and a...
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06/08/2020
Stochastic Optimization with Non-stationary Noise
We investigate stochastic optimization problems under relaxed assumption...
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02/10/2020
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
Most predictive models assume that training and test data are generated ...
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01/28/2020
Learning Occupational Task-Shares Dynamics for the Future of Work
The recent wave of AI and automation has been argued to differ from prev...
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06/19/2019
Learning Patient Engagement in Care Management: Performance vs. Interpretability
The health outcomes of high-need patients can be substantially influence...
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05/08/2019
