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06/26/2023
Gradient Descent Converges Linearly for Logistic Regression on Separable Data
We show that running gradient descent with variable learning rate guaran...
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04/11/2022
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
We propose a simple modification to the iterative hard thresholding (IHT...
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08/18/2021
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
Coming up with effective ad text is a time consuming process, and partic...
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08/05/2021
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
Numerous online stock image libraries offer high quality yet copyright f...
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01/15/2021
Local Search Algorithms for Rank-Constrained Convex Optimization
We propose greedy and local search algorithms for rank-constrained conve...
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06/25/2020
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
The goal of Sparse Convex Optimization is to optimize a convex function ...
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06/01/2019