Kumar, Mohit

10 publications

AAAI 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting Sayantan Basu, Mohit Kumar, Sivaramakrishnan Kaveri

JAIR 2025 Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Moser

JAIR 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach Mohit Kumar, Bernhard Alois Moser, Lukas Fischer

IJCAI 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) Mohit Kumar, Bernhard Alois Moser, Lukas Fischer

AAAI 2021 Democratizing Constraint Satisfaction Problems Through Machine Learning Mohit Kumar, Samuel Kolb, Clément Gautrais, Luc De Raedt

AAAI 2020 Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt

ECML-PKDD 2020 VisualSynth: Democratizing Data Science in Spreadsheets Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

IJCAI 2019 Acquiring Integer Programs from Data Mohit Kumar, Stefano Teso, Luc De Raedt

AAAI 2018 Decomposition Strategies for Constructive Preference Elicitation Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini

IJCAI 2007 Learning from the Report-Writing Behavior of Individuals Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky