Matthew J. Holland
10 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20)
πΊ
Lone Wolf
(7)
π
Keyword Champion
(3)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(60)
Venues
Top co-authors
Research topics
Keywords
heavy-tailed distribution
(4)
heavy-tailed loss
(3)
risk minimization
(3)
gradient descent
(3)
loss function
(3)
loss distribution
(2)
robust gradient descent
(2)
stochastic optimization
(2)
online learning
(1)
distribution shift
(1)
risk management
(1)
excess risk
(1)
classification accuracy
(1)
robust estimation
(1)
learning theory
(1)
surrogate losses
(1)
robust optimization
(1)
variance regularization
(1)
lipschitz continuity
(1)
gradient aggregation
(1)
Papers
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)
AAAI 2024
Criterion Collapse and Loss Distribution Control
ICML 2024
Robust variance-regularized risk minimization with concomitant scaling
AISTATS 2024
Soft ascent-descent as a stable and flexible alternative to flooding
NeurIPS 2024
Flexible risk design using bi-directional dispersion
AISTATS 2023
Anytime Guarantees under Heavy-Tailed Data
AAAI 2022
Spectral risk-based learning using unbounded losses
AISTATS 2022
Scaling-Up Robust Gradient Descent Techniques
AAAI 2021
Classification using margin pursuit
AISTATS 2019
Robust descent using smoothed multiplicative noise
AISTATS 2019