Konstantinov, Nikola

1. The Convergence of Sparsified Gradient Methods
   2018/09/27 by Dan Alistarh, Torsten Hoefler, Alistarh, Dan +9 · 19 citations
   Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
2. Data Leakage in Federated Averaging
   2022/06/24 by Dimitar I. Dimitrov, Dimitrov, Dimitar I., Mislav Balunović +5 · 4 citations
   Computer Science · Engineering · Medicine · #COVID-19 diagnosis using AI #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #I.2.11 #Machine Learning (cs.LG) #Medical Imaging and Analysis #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
3. Robust Learning from Untrusted Sources
   2019/01/29 by Nikola Konstantinov, Christoph H. Lampert, Konstantinov, Nikola +1 · 4 citations
   Computer Science · #Machine Learning and Algorithms #Distributed Sensor Networks and Detection Algorithms #Machine Learning and Data Classification
4. COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
   2024/10/10 by Philipp Guldimann, Alexander Spiridonov, Guldimann, Philipp +21 · 7 citations
   Computer Science · #Law, AI, and Intellectual Property
5. Fairness Through Regularization for Learning to Rank
   2021/02/11 by Konstantinov, Nikola, Lampert, Christoph H. · 2 citations
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Fairness-Aware PAC Learning from Corrupted Data
   2021/02/11 by Konstantinov, Nikola, Lampert, Christoph H. · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
   2024/05/27 by Nikita Tsoy, Tsoy, Nikita, Nikola Konstantinov +1 · 4 citations
   Computer Science · Engineering · #Advanced MIMO Systems Optimization #Distributed Sensor Networks and Detection Algorithms #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
8. Strategic Data Sharing between Competitors
   2023/05/25 by Nikita Tsoy, Tsoy, Nikita, Nikola Konstantinov +1 · 2 citations
   Business, Management and Accounting · Decision Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Digital Platforms and Economics #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG)
9. Human-Guided Fair Classification for Natural Language Processing
   2022/12/20 by Florian E. Dorner, Dorner, Florian E., Momchil Peychev +9 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Text Readability and Simplification #Topic Modeling
10. On the Sample Complexity of Adversarial Multi-Source PAC Learning
    2020/02/24 by Nikola Konstantinov, Elias Frantar, Konstantinov, Nikola +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
11. Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
    2023/05/25 by Florian E. Dorner, Nikola Konstantinov, Dorner, Florian E. +5 · 1 citation
    Decision Sciences · Social Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. On the Impact of Performative Risk Minimization for Binary Random Variables
    2025/02/04 by Nikita Tsoy, Ivan Kirev, Tsoy, Nikita +5 · 2 citations
    Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #Insurance and Financial Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Portfolio Optimization
13. Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
    2024/12/01 by Chakarov, Dimitar, Tsoy, Nikita, Minchev, Kristian +1 · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)