Pursuit of low-rank models of time-varying matrices robust to sparse and measurement noise
- Albert Akhriev
- Jakub Marecek
- et al.
- 2020
- AAAI 2020
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181 results for Automated AI
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 2024
Intent-Driven Multi-Engine Observability Dataflows For Heterogeneous Geo-Distributed Clouds
- 2024
- CLOUD 2024
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
- Sarath Sreedharan
- Michael Katz
- 2023
- NeurIPS 2023
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems
- Haoran Qiu
- Weichao Mao
- et al.
- 2023
- USENIX ATC 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- Hadjer Benmeziane
- Corey Lammie
- et al.
- 2023
- EDGE 2023
Concurrent Multi-Label Prediction in Event Streams
- Xiao Shou
- Tian Gao
- et al.
- 2023
- AAAI 2023
Federated Learning with Flexible Control
- Shiqiang Wang
- Jake Perazzone
- et al.
- 2023
- INFOCOM 2023
A Unified Analysis of Federated Learning with Arbitrary Client Participation
- Shiqiang Wang
- Mingyue Ji
- 2022
- NeurIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- Krishnateja Killamsetty
- Guttu Sai Abhishek
- et al.
- 2022
- NeurIPS 2022