| 2025 | AISTATS | Integer Programming Based Methods and Heuristics for Causal Graph Learning. | Sanjeeb Dash, Joao P. Goncalves, Tian Gao |
| 2023 | AAAI | Rule Induction in Knowledge Graphs Using Linear Programming. | Sanjeeb Dash, Joao P. Goncalves |
| 2023 | AISTATS | Heavy Sets with Applications to Interpretable Machine Learning Diagnostics. | Dmitry M. Malioutov, Sanjeeb Dash, Dennis Wei |
| 2021 | ICML | Integer Programming for Causal Structure Learning in the Presence of Latent Variables. | Rui Chen, Sanjeeb Dash, Tian Gao |
| 2020 | IPCO | On a Generalization of the Chvtal-Gomory Closure. | Sanjeeb Dash, Oktay Gnlk, Dabeen Lee |
| 2019 | ICML | Generalized Linear Rule Models. | Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Gnlk |
| 2015 | ICASSP | Learning interpretable classification rules using sequential rowsampling. | Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney |
| 2014 | ICASSP | Screening for learning classification rules via Boolean compressed sensing. | Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney |
| 2013 | IPCO | On Some Generalizations of the Split Closure. | Sanjeeb Dash, Oktay Gnlk, Diego Alejandro Morn Ramrez |
| 2007 | IPCO | On a Generalization of the Master Cyclic Group Polyhedron. | Sanjeeb Dash, Ricardo Fukasawa, Oktay Gnlk |
| 2007 | IPCO | On the MIR Closure of Polyhedra. | Sanjeeb Dash, Oktay Gnlk, Andrea Lodi |
| 2004 | IPCO | Valid Inequalities Based on Simple Mixed-Integer Sets. | Sanjeeb Dash, Oktay Gnlk |
| 2002 | IPCO | An Exponential Lower Bound on the Length of Some Classes of Branch-and-Cut Proofs. | Sanjeeb Dash |