Nikola Konstantinov
10 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Conference Polyglot (5)
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Academic Marathon
(7)
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Cross-Pollinator
(11)
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Century Club
(10)
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Trend Setter
Conferences
ICML (4)
NIPS (3)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
pac learning
(2)
distributed learning
(2)
collaborative learning
(2)
adversarial learning
(2)
game theory
(2)
federated learning
(2)
statistical learning theory
(1)
sample complexity
(1)
mean estimation
(1)
mechanism design
(1)
distributed training
(1)
incentive mechanism
(1)
robust learning
(1)
generalization bound
(1)
client participation
(1)
data corruption
(1)
machine learning model
(1)
privacy guarantee
(1)
data sharing
(1)
convex stochastic optimization
(1)
Papers
On the Impact of Performative Risk Minimization for Binary Random Variables
ICML 2025
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
ICML 2024
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
AISTATS 2024
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
NIPS 2023
Human-Guided Fair Classification for Natural Language Processing
ICLR 2023
Strategic Data Sharing between Competitors
NIPS 2023
Fairness-Aware PAC Learning from Corrupted Data
JMLR 2022
On the Sample Complexity of Adversarial Multi-Source PAC Learning
ICML 2020
Robust Learning from Untrusted Sources
ICML 2019
The Convergence of Sparsified Gradient Methods
NIPS 2018