| 2025 | AISTATS | S-CFE: Simple Counterfactual Explanations. | Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan, Sebastian Pokutta |
| 2025 | ICLR | The Complexity of Two-Team Polymatrix Games with Independent Adversaries. | Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan |
| 2024 | ICML | Analyzing Dα seeding for k-means. | tienne Bamas, Sai Ganesh Nagarajan, Ola Svensson |
| 2023 | AAAI | Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. | Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu |
| 2023 | AISTATS | Online Algorithms with Costly Predictions. | Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson |
| 2021 | AISTATS | Efficient Statistics for Sparse Graphical Models from Truncated Samples. | Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas |
| 2021 | AISTATS | Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. | Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2020 | ALT | On the Analysis of EM for truncated mixtures of two Gaussians. | Sai Ganesh Nagarajan, Ioannis Panageas |
| 2020 | ICLR | Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. | Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2020 | ICML | Better depth-width trade-offs for neural networks through the lens of dynamical systems. | Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas |
| 2020 | ICML | From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics. | Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras |
| 2018 | VTC | Change Detection of a Subset of High-Dimensional Time Series Data in Sensor Networks. | Ido Nevat, Sai Ganesh Nagarajan, Pengfei Zhang |