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06/08/2023
Improving Negative-Prompt Inversion via Proximal Guidance
DDIM inversion has revealed the remarkable potential of real image editi...
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02/06/2023
Learning Complementary Policies for Human-AI Teams
Human-AI complementarity is important when neither the algorithm nor the...
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06/14/2022
Probabilistic Conformal Prediction Using Conditional Random Samples
This paper proposes probabilistic conformal prediction (PCP), a predicti...
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12/08/2021
Enhancing Counterfactual Classification via Self-Training
Unlike traditional supervised learning, in many settings only partial fe...
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11/18/2021
Loss Functions for Discrete Contextual Pricing with Observational Data
We study a pricing setting where each customer is offered a contextualiz...
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11/08/2021
Identifying Best Fair Intervention
We study the problem of best arm identification with a fairness constrai...
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10/17/2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
StyleGANs have shown impressive results on data generation and manipulat...
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08/20/2021
Dual Projection Generative Adversarial Networks for Conditional Image Generation
Conditional Generative Adversarial Networks (cGANs) extend the standard ...
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05/24/2021
Cost-Accuracy Aware Adaptive Labeling for Active Learning
Conventional active learning algorithms assume a single labeler that pro...
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05/22/2021
Human-AI Collaboration with Bandit Feedback
Human-machine complementarity is important when neither the algorithm no...
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11/21/2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Conditional generative adversarial networks have shown exceptional gener...
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07/25/2019