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08/08/2023
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients
Federated optimization, an emerging paradigm which finds wide real-world...
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10/13/2022
Sample-Then-Optimize Batch Neural Thompson Sampling
Bayesian optimization (BO), which uses a Gaussian process (GP) as a surr...
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05/28/2022
Federated Neural Bandit
Recent works on neural contextual bandit have achieved compelling perfor...
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01/24/2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
Neural architecture search (NAS) has gained immense popularity owing to ...
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09/06/2021
Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search
Recently, Neural Architecture Search (NAS) has been widely applied to au...
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09/02/2021
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Recent years have witnessed a surging interest in Neural Architecture Se...
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10/17/2020
Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization
Finite-sum optimization plays an important role in the area of machine l...
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09/20/2019
Understanding Architectures Learnt by Cell-based Neural Architecture Search
Neural architecture search (NAS) generates architectures automatically f...
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05/13/2019
ISBNet: Instance-aware Selective Branching Network
Recent years have witnessed growing interests in designing efficient neu...
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02/19/2019
Efficient Memory Management for GPU-based Deep Learning Systems
GPU (graphics processing unit) has been used for many data-intensive app...
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04/02/2017