Nikola Konstantinov
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(8)
Application Areas
(7)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
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Learning Types
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
distributed learning
(2)
federated learning
(2)
game theory
(2)
pac learning
(2)
adversarial learning
(2)
collaborative learning
(2)
multi-source learning
(1)
non-convex optimization
(1)
sample complexity
(1)
statistical learning theory
(1)
algorithmic fairness
(1)
incentive mechanism
(1)
mean estimation
(1)
mechanism design
(1)
distributed training
(1)
fair classification
(1)
text classification
(1)
adversarial robustness
(1)
robust learning
(1)
stochastic gradient descent
(1)
Papers
On the Impact of Performative Risk Minimization for Binary Random Variables
ICML 2025
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
AISTATS 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
ICML 2024
Human-Guided Fair Classification for Natural Language Processing
ICLR 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
NeurIPS 2023
Strategic Data Sharing between Competitors
NeurIPS 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
NeurIPS 2018