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06/21/2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Stochastic Bilevel optimization usually involves minimizing an upper-lev...
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02/20/2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization
We focus on decentralized stochastic non-convex optimization, where n ag...
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08/17/2022
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Feature embeddings are one of the most essential steps when training dee...
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02/09/2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
We propose a projection-free conditional gradient-type algorithm for smo...
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02/10/2021
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm
As machine learning models are deployed in critical applications, it bec...
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06/15/2020
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions
We analyze stochastic conditional gradient type methods for constrained ...
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06/05/2019
