Mohit Kumar
7 papers · 2008–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (17) π Cross-Pollinator (14) π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
AAAI (4)
IJCAI (2)
IJCNLP (1)
Top co-authors
Research topics
Keywords
constraint learning
(3)
reproducing kernel hilbert space
(2)
machine learning
(2)
constraint satisfaction
(2)
combinatorial optimization
(2)
interactive learning
(1)
convex optimization
(1)
privacy-preserving learning
(1)
utility optimization
(1)
automated reasoning
(1)
generalization error
(1)
integer programming
(1)
collaborative learning
(1)
membership inference
(1)
synthetic control
(1)
kernel machine
(1)
constraint satisfaction problem
(1)
classification problem
(1)
demand forecasting
(1)
positive negative example
(1)
Papers
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint)
AAAI 2026
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting
AAAI 2025
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)
IJCAI 2024
Democratizing Constraint Satisfaction Problems through Machine Learning
AAAI 2021
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
AAAI 2020
Acquiring Integer Programs from Data
IJCAI 2019
Automatic Extraction of Briefing Templates
IJCNLP 2008