Yajie Bao
10 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (14)
π₯
Unstoppable
(5)
π
Century Club
(10)
Conferences
ICML (3)
ICLR (2)
NIPS (2)
AISTATS (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
federated learning
(3)
distributed learning
(2)
stochastic gradient descent
(1)
statistical inference
(1)
online learning
(1)
conformal prediction
(1)
non-convex optimization
(1)
global convergence
(1)
composite optimization
(1)
distributed optimization
(1)
distribution shift
(1)
support recovery
(1)
online prediction
(1)
dual averaging
(1)
communication efficiency
(1)
sparse linear regression
(1)
nuclear norm regularization
(1)
asymptotic normality
(1)
recurrent neural network
(1)
gradient clipping
(1)
Papers
Error-quantified Conformal Inference for Time Series
ICLR 2025
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
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
NIPS 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
NIPS 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