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02/10/2023
On Penalty-based Bilevel Gradient Descent Method
Bilevel optimization enjoys a wide range of applications in hyper-parame...
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11/14/2022
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Stochastic bilevel optimization, which captures the inherent nested stru...
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10/23/2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Machine learning problems with multiple objective functions appear eithe...
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06/21/2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences
Stochastic approximation (SA) with multiple coupled sequences has found ...
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12/31/2020
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup
Asynchronous and parallel implementation of standard reinforcement learn...
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03/04/2020
Multi-object Tracking via End-to-end Tracklet Searching and Ranking
Recent works in multiple object tracking use sequence model to calculate...
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02/20/2020
Adaptive Temporal Difference Learning with Linear Function Approximation
This paper revisits the celebrated temporal difference (TD) learning alg...
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12/13/2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Traditional video compression technologies have been developed over deca...
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08/02/2019
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
More powerful feature representations derived from deep neural networks ...
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07/11/2019
Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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07/02/2019
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Video object segmentation (VOS) aims at pixel-level object tracking give...
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08/05/2018