| 2024 | UAI | Identifying Causal Changes Between Linear Structural Equation Models. | Vineet Malik, Kevin Bello, Asish Ghoshal, Jean Honorio |
| 2023 | ACL | CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. | Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen |
| 2022 | SIGIR | QUASER: Question Answering with Scalable Extractive Rationalization. | Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad |
| 2021 | AISTATS | Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. | Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal |
| 2021 | EMNLP | FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. | Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer |
| 2021 | ICLR | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. | Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad |
| 2020 | AISTATS | Minimax Bounds for Structured Prediction Based on Factor Graphs. | Kevin Bello, Asish Ghoshal, Jean Honorio |
| 2020 | EMNLP | Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. | Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta |
| 2018 | AISTATS | Learning linear structural equation models in polynomial time and sample complexity. | Asish Ghoshal, Jean Honorio |
| 2018 | AISTATS | Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity. | Asish Ghoshal, Jean Honorio |
| 2018 | ICML | Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. | Asish Ghoshal, Jean Honorio |
| 2017 | AISTATS | Information-theoretic limits of Bayesian network structure learning. | Asish Ghoshal, Jean Honorio |
| 2017 | AISTATS | Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. | Asish Ghoshal, Jean Honorio |
| 2016 | COMSNETS | Fast training on large genomics data using distributed Support Vector Machines. | Nawanol Theera-Ampornpunt, Seong Gon Kim, Asish Ghoshal, Saurabh Bagchi, Ananth Grama, Somali Chaterji |
| 2013 | ICRA | Covering space with simple robots: From chains to random trees. | Asish Ghoshal, Dylan A. Shell |