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06/14/2022
Conformal Off-Policy Prediction
Off-policy evaluation is critical in a number of applications where new ...
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05/27/2022
An efficient tensor regression for high-dimensional data
Most currently used tensor regression models for high-dimensional data a...
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05/23/2022
KRNet: Towards Efficient Knowledge Replay
The knowledge replay technique has been widely used in many tasks such a...
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05/01/2022
Ridgeless Regression with Random Features
Recent theoretical studies illustrated that kernel ridgeless regression ...
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02/23/2022
NetRCA: An Effective Network Fault Cause Localization Algorithm
Localizing the root cause of network faults is crucial to network operat...
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11/05/2021
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
As business of Alibaba expands across the world among various industries...
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11/05/2021
Quantile index regression
Estimating the structures at high or low quantiles has become an importa...
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07/28/2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Reconstruction-based methods play an important role in unsupervised anom...
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04/30/2020
Local State Space Analysis to Assist Partial Order Reduction
This paper presents an approach to more efficient partial order reductio...
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02/21/2020
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection
Periodicity detection is an important task in time series analysis as it...
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12/17/2018
Learning Incremental Triplet Margin for Person Re-identification
Person re-identification (ReID) aims to match people across multiple non...
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10/30/2017