Yajie Bao
12 papers · 2021–2026 · 7 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21)
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Machine Learning
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federated learning
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distributed learning
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conformal prediction
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gradient clipping
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online learning
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distributed optimization
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stochastic gradient descent
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multi-view fusion
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statistical inference
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global convergence
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composite optimization
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uncertainty quantification
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outlier detection
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neural network optimization
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time series prediction
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non-convex optimization
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distribution shift
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support recovery
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online prediction
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feature learning
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Papers
SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
CVPR 2026
TEXTRIX: Latent Attribute Grid for Native Texture Generation and Beyond
CVPR 2026
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
JMLR 2025
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
ICML 2025
Error-quantified Conformal Inference for Time Series
ICLR 2025
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
ICML 2024
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
ICLR 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
NeurIPS 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
NeurIPS 2023
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis
UAI 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning
ICML 2022
One-Round Communication Efficient Distributed M-Estimation
AISTATS 2021