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08/10/2023
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error
This paper studies Byzantine-robust stochastic optimization over a decen...
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06/01/2023
Example-based Motion Synthesis via Generative Motion Matching
We present GenMM, a generative model that "mines" as many diverse motion...
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04/25/2023
Patch-based 3D Natural Scene Generation from a Single Example
We target a 3D generative model for general natural scenes that are typi...
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02/22/2023
Source-Function Weighted-Transfer Learning for Nonparametric Regression with Seemingly Similar Sources
The homogeneity, or more generally, the similarity between source domain...
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11/29/2022
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Sparse reduced rank regression is an essential statistical learning meth...
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06/10/2022
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox
A basic condition for efficient transfer learning is the similarity betw...
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03/31/2022
Ternary and Binary Quantization for Improved Classification
Dimension reduction and data quantization are two important methods for ...
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10/20/2021
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning
Recently, the method that learns networks layer by layer has attracted i...
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07/16/2021
Deep Learning to Ternary Hash Codes by Continuation
Recently, it has been observed that 0,1,-1-ternary codes which are simpl...
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06/13/2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
This paper aims to solve a distributed learning problem under Byzantine ...
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06/08/2021
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras
Synthesizing novel views of dynamic humans from stationary monocular cam...
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08/20/2020
Unified Rules of Renewable Weighted Sums for Various Online Updating Estimations
This paper establishes unified frameworks of renewable weighted sums (RW...
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12/13/2019
Best Subset Selection in Reduced Rank Regression
Reduced rank regression is popularly used for modeling the relationship ...
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09/15/2019
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
In this paper, we propose a communication- and computation-efficient alg...
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09/09/2019
Communication-Censored Distributed Stochastic Gradient Descent
This paper develops a communication-efficient algorithm to solve the sto...
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12/12/2013
