Jialei Wang
25 papers · 2011–2025 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Jialei Wang?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nathan Srebro, Mladen Kolar, Tong Zhang
12 papers
· 2016–2019
· JMLR, NeurIPS, AISTATS
Hide ▲
Stochastic Canonical Correlation Analysis
JMLR 2019
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations
JMLR 2019
Efficient coordinate-wise leading eigenvector computation
ALT 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization
NeurIPS 2018
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
NeurIPS 2018
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
JMLR 2017
Efficient Distributed Learning with Sparsity
ICML 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox
COLT 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
AISTATS 2017
Distributed Multi-Task Learning
AISTATS 2016
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
NeurIPS 2016
Inference for High-dimensional Exponential Family Graphical Models
AISTATS 2016
4 papers whose co-authors appear nowhere else under this name
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation
AAAI 2024
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
ICML 2017
Multi-Information Source Optimization
NeurIPS 2017
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
CVPR 2016