Anqi Mao
23 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Cross-Pollinator (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (20)
π€
Dynamic Duo
(22)
π
Triple Crown
π¬
Deep Specialist
(13)
π
Keyword Champion
(6)
π
Century Club
(23)
π₯
Unstoppable
(5)
β‘
Prolific Year
(10)
Conferences
ICML (9)
NIPS (9)
AISTATS (2)
ALT (2)
ICLR (1)
Top co-authors
Keywords
surrogate loss
(14)
h-consistency bound
(6)
multi-class classification
(6)
consistency bound
(6)
bayes consistency
(3)
hypothesis set
(3)
adversarial robustness
(3)
loss function
(2)
neural network
(2)
learning theory
(2)
abstention learning
(2)
learning to defer
(2)
adversarial loss
(2)
consistency guarantee
(2)
excess error bound
(2)
cost-sensitive learning
(1)
classification error
(1)
pairwise ranking
(1)
logistic loss
(1)
multi-label classification
(1)
Papers
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
ICML 2025
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
ICML 2025
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
ICML 2025
Enhanced $H$-Consistency Bounds
ALT 2025
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
NIPS 2024
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
ALT 2024
Multi-Label Learning with Stronger Consistency Guarantees
NIPS 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification
NIPS 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
NIPS 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
Learning to Reject with a Fixed Predictor: Application to Decontextualization
ICLR 2024
Differentially Private Domain Adaptation with Theoretical Guarantees
ICML 2024
$H$-Consistency Guarantees for Regression
ICML 2024
Regression with Multi-Expert Deferral
ICML 2024
Structured Prediction with Stronger Consistency Guarantees
NIPS 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
ICML 2023
$H$-Consistency Bounds: Characterization and Extensions
NIPS 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
AISTATS 2023
Two-Stage Learning to Defer with Multiple Experts
NIPS 2023
Multi-Class $H$-Consistency Bounds
NIPS 2022
H-Consistency Bounds for Surrogate Loss Minimizers
ICML 2022
Calibration and Consistency of Adversarial Surrogate Losses
NIPS 2021