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07/31/2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
While deep learning (DL) models are state-of-the-art in text and image d...
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06/01/2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
We study differentially private (DP) algorithms for smooth stochastic mi...
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01/19/2022
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
We study the bilinearly coupled minimax problem: min_xmax_y f(x) + y^⊤ A...
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05/18/2021
Sample Efficient Linear Meta-Learning by Alternating Minimization
Meta-learning synthesizes and leverages the knowledge from a given set o...
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10/05/2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
We consider the classical setting of optimizing a nonsmooth Lipschitz co...
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07/02/2019
Efficient Algorithms for Smooth Minimax Optimization
This paper studies first order methods for solving smooth minimax optimi...
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06/14/2019
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers
Training disentangled representations with generative adversarial networ...
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06/09/2019
Robust conditional GANs under missing or uncertain labels
Matching the performance of conditional Generative Adversarial Networks ...
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11/08/2018