| 2026 | COLT | Relatively Smart: A New Approach for Instance-Optimal Learning. | Shaddin Dughmi, Alireza F. Pour |
| 2025 | ALT | Proper Learnability and the Role of Unlabeled Data. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2025 | ALT | Is Transductive Learning Equivalent to PAC Learning? | Shaddin Dughmi, Yusuf Hakan Kalayci, Grayson York |
| 2025 | COLT | Local Regularizers Are Not Transductive Learners. | Sky Jafar, Julian Asilis, Shaddin Dughmi |
| 2024 | COLT | Regularization and Optimal Multiclass Learning. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | COLT | Open Problem: Can Local Regularization Learn All Multiclass Problems? | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | SODA | On Supermodular Contracts and Dense Subgraphs. | Ramiro Deo-Campo Vuong, Shaddin Dughmi, Neel Patel, Aditya Prasad |
| 2024 | STOC | Limitations of Stochastic Selection Problems with Pairwise Independent Priors. | Shaddin Dughmi, Yusuf Hakan Kalayci, Neel Patel |
| 2023 | ICALP | On Sparsification of Stochastic Packing Problems. | Shaddin Dughmi, Yusuf Hakan Kalayci, Neel Patel |
| 2020 | ICALP | The Outer Limits of Contention Resolution on Matroids and Connections to the Secretary Problem. | Shaddin Dughmi |
| 2018 | AAAI | On the Distortion of Voting With Multiple Representative Candidates. | Yu Cheng, Shaddin Dughmi, David Kempe |
| 2017 | STOC | Bernoulli factories and black-box reductions in mechanism design. | Shaddin Dughmi, Jason D. Hartline, Robert Kleinberg, Rad Niazadeh |
| 2016 | STOC | Algorithmic Bayesian persuasion. | Shaddin Dughmi, Haifeng Xu |
| 2015 | AAAI | Exploring Information Asymmetry in Two-Stage Security Games. | Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe |
| 2015 | FOCS | Mixture Selection, Mechanism Design, and Signaling. | Yu Cheng, Ho Yee Cheung, Shaddin Dughmi, Ehsan Emamjomeh-Zadeh, Li Han, Shang-Hua Teng |
| 2015 | IJCAI | Security Games with Information Leakage: Modeling and Computation. | Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe |
| 2015 | SAGT | Algorithmic Signaling of Features in Auction Design. | Shaddin Dughmi, Nicole Immorlica, Ryan O'Donnell, Li-Yang Tan |
| 2014 | AAAI | Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. | Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe |
| 2014 | FOCS | On the Hardness of Signaling. | Shaddin Dughmi |
| 2014 | SODA | Constrained Signaling in Auction Design. | Shaddin Dughmi, Nicole Immorlica, Aaron Roth |
| 2012 | CIKM | Dynamic covering for recommendation systems. | Ioannis Antonellis, Anish Das Sarma, Shaddin Dughmi |
| 2011 | FOCS | Limitations of Randomized Mechanisms for Combinatorial Auctions. | Shaddin Dughmi, Jan Vondrk |
| 2011 | STOC | From convex optimization to randomized mechanisms: toward optimal combinatorial auctions. | Shaddin Dughmi, Tim Roughgarden, Qiqi Yan |
| 2010 | FOCS | Black-Box Randomized Reductions in Algorithmic Mechanism Design. | Shaddin Dughmi, Tim Roughgarden |
| 2010 | SODA | Inapproximability for VCG-Based Combinatorial Auctions. | David Buchfuhrer, Shaddin Dughmi, Hu Fu, Robert Kleinberg, Elchanan Mossel, Christos H. Papadimitriou, Michael Schapira, Yaron Singer, Christopher Umans |
| 2009 | FOCS | On the Power of Randomization in Algorithmic Mechanism Design. | Shahar Dobzinski, Shaddin Dughmi |
| 2008 | FOCS | Truthful Approximation Schemes for Single-Parameter Agents. | Peerapong Dhangwatnotai, Shahar Dobzinski, Shaddin Dughmi, Tim Roughgarden |