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Sai Ganesh Nagarajan
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Sai Ganesh Nagarajan
  • Home
  • Publications
  • Academic Engagement
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    • Home
    • Publications
    • Academic Engagement

Google Scholar, dblp, github

Preprints

  • On The Stochastic Follow-the-Regularized Leader in Zero-Sum Games, with James Bailey and Georgios Piliouras. [arxiv]. (Preliminary version presented in EC 2019 Workshop on Learning in the Presence of Strategic Behavior).

  • The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses, with Grzegorz Gluch, Berkant Turan, Sebastian Pokutta [workshop version][arxiv]. (Preliminary version presented in ICML 2024 Workshop on Theoretical Foundations of Foundation Models and to appear in ICLR 2025 Workshop on Gen AI Watermarking)

Peer Reviewed Conferences/Workshops


  • Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan. The Complexity of Two-Team Polymatrix Games with Independent Adversaries. [arxiv]. (ICLR 2025, Oral Presentation (Top 1.8%)). (Alphabetical Order)

  •  Shpresim Sadiku, Mortiz Wagner, Sai Ganesh Nagarajan, Sebastian Pokutta. S-CFE: Simple Counterfactual Explanations. [arxiv]. (AISTATS 2025). 

  • Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson. Analyzing  $D^\alpha$ seeding for $k$-means. [paper][code]. (ICML 2024). (Alphabetical Order)

  • Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson. Online Algorithms with Costly Predictions. [paper]. (AISTATS 2023). (Alphabetical Order)

  • Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu. Mean estimation of truncated mixtures of two Gaussians: A gradient based approach. [paper]. (AAAI 2023). (Alphabetical Order)

  • Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan and Ioannis Panageas. Efficient Statistics for Sparse Graphical Models from Truncated Samples. [arxiv] . (AISTATS 2021). (Alphabetical Order)

  • Qi Lie, Sai Ganesh Nagarajan, Ioannis Panageas and Xiao Wang. Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. [arxiv]. (AISTATS 2021). (Alphabetical Order)

  • Sai Ganesh Nagarajan, David Balduzzi and Georgios Piliouras. From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics. [paper] [code] (ICML 2020).

  • Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas. Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems [paper] [code]. (ICML 2020). (Alphabetical Order)

  • Sai Ganesh Nagarajan, David Balduzzi and Georgios Piliouras. Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction [paper]. (AAMAS 2020, Extended Abstract).

  • Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang. Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. [paper] [code] (ICLR 2020, Spotlight presentation) . (Alphabetical Order)

  • Sai Ganesh Nagarajan, Ioannis Panageas,  On the Analysis of EM for truncated mixtures of two Gaussians. [arxiv] (ALT 2020) . (Alphabetical Order)

  • Sai Ganesh Nagarajan, Sameh Mohamed, and Georgios Piliouras. Three body problems in evolutionary game dynamics: Convergence, periodicity and limit cycles. [paper] (AAMAS 2018). 

PhD Thesis

Machine Learning via Dynamical Systems: Applications to Deep Learning, Game Theory and Optimization (2021) [thesis].

Papers on anomaly detection in sensor networks (Prior PhD)


  • Gareth W.Peters, Ido Nevat, Sai Ganesh Nagarajan, Tomoko Matsui. Spatial warped Gaussian processes: Estimation and efficient field reconstruction. [paper]. (Entropy 2021). 

  • Ido Nevat, Dinil Mon Divakaran, Sai Ganesh Nagarajan, Pengfei Zhang, Le Su, Li Ling Ko, and Vrizlynn LL Thing. Anomaly detection and attribution in networks with temporally correlated traffic. IEEE/ACM Transactions on Networking (TON), 26(1):131–144, 2018. [paper]

  • Tie Luo, Sai Ganesh Nagarajan. Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT. ICC 2018. [paper]

  • Ido Nevat, Sai Ganesh Nagarajan, Pengfei Zhang. Change Detection of a Subset of High-Dimensional Time Series Data in Sensor Networks. IEEE VTC 2018. [paper]

  • Sai Ganesh Nagarajan, Pengfei Zhang, and Ido Nevat. Geo-spatial location estimation for internet of things (IoT) networks with one-way time-of-arrival via stochastic censoring. IEEE Internet of Things Journal, 4(1):205–214, 2017.[paper]  

  • Pengfei Zhang, Sai Ganesh Nagarajan, and Ido Nevat. Secure location of things (SLoT): Mitigating localization spoofing attacks in the internet of things. IEEE Internet of Things Journal, 4(6):2199–2206, 2017. [paper]

  • Wai Hong Ronald Chan, Pengfei Zhang, Ido Nevat, Sai Ganesh Nagarajan, Alvin C Valera, Hwee-Xian Tan, and Natarajan Gautam. Adaptive duty cycling in sensor networks with energy harvesting using continuous-time markov chain and fluid models. IEEE Journal on Selected Areas in Communications, 33(12):2687–2700, 2015. [paper]

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