Theses

• Optimization Methods for Resource Allocation and Machine Learning Applications

  • Kartik Ahuja, PhD Thesis, UCLA

• Optimizing Signal Constellations

  • Kartik Ahuja, M.Tech Thesis, IIT Kanpur

Machine Learning and Optimization

The list below is not updated. Please check Google Scholar or CV (updated April 2025).

• Kartik Ahuja, Jason Hartford, Yoshua Bengio.
  Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning.
  ICLR, 2022 (Spotlight).

• Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas.
  Towards Efficient Representation Identification in Supervised Learning.
  CleaR, 2022.

• Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja.
  Finding Valid Adjustments under Non-Ignorability with Minimal DAG Knowledge.
  AISTATS, 2022.

• Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish.
  Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization.
  NeurIPS, 2021 (Spotlight) (code)

• P. Bashivan, R. Bayat, A. Ibrahim, K. Ahuja, M. Faramarzi, T. Laleh, B. Richards, I. Rish.
  Adversarial Feature Desensitization.
  NeurIPS, 2021.

• Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron Courville.
  Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
  ICML, 2021 (Oral). (video)

• Kartik Ahuja, P. Sattigeri, K. Shanmugam, D. Wei, K.N. Ramamurthy, M. Kocaglu.
  Conditionally Independent Data Generation.
  UAI, 2021. (video)

• Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney.
  Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.
  ICLR, 2021. (video)(code)

• Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar.
  Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions.
  AISTATS, 2021. (video) (code)

• Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar.
  Invariant Risk Minimization Games.
  ICML, 2020 (video)(code).

• Kartik Ahuja, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney.
  Learning to Initialize Gradient Descent using Gradient Descent.
  Submitted.

• Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar.
  On the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization.
  Inductive Biases, Invariances and Generalization in RL Workshop, International Conference on Machine Learning (ICML), 2020.

• Kartik Ahuja.
  Estimating Kullback-Leibler Divergence using Kernel Machines.
  In 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019.

• Kartik Ahuja, William Zame, Mihaela van der Schaar.
  Optimal Piecewise Approximations for Model Interpretation.
  In 53rd Asilomar Conference on Signals, Systems, and Computers, IEEE, 2019. Second best student paper award.

• Kartik Ahuja, Mihaela van der Schaar.
  Joint Concordance Index.
  In 53rd Asilomar Conference on Signals, Systems, and Computers, IEEE, 2019.

• Kartik Ahuja, Mihaela Van der Schaar.
  Dynamic Matching and Allocation of Tasks.
  In ACM Transactions on Economics and Computation (TEAC) 7, no. 4 (2019): 1-27 and a short version appeared in 30th International Conference on Game Theory, 2019.

• Kartik Ahuja, William Zame, and Mihaela van der Schaar.
  Dpscreen: Dynamic personalized screening.
  In Advances in Neural Information Processing Systems (NeurIPS), pp. 1321-1332. 2017.

• Kartik Ahuja, Yuanzhang Xiao, and Mihaela van der Schaar.
  Distributed interference management policies for heterogeneous small cell networks.
  IEEE Journal on Selected Areas in Communications 33, no. 6 pp 1112-1126, 2015. Featured in IEEE MMTC Letter, December 2016.

• Kartik Ahuja, Yuanzhang Xiao, and Mihaela van der Schaar.
  Efficient Interference Management Policies for Femtocell Networks.
  In IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp 4879-4893, 2015. Featured in IEEE-spotlight and in UCLA-news.

• Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar.
  Spectrum Sharing For Delay-Sensitive Applications with Continuing QoS Guarantees.
  In IEEE Global Communications Conference (GLOBECOM), 2014. Nominated for the best paper award, top 50 papers amongst 2100 submitted.

• Kartik Ahuja, Mai Hasan, Jahangir Hossain.
  To Participate or Not in Spectrum Auctions with Entry fee: Bayesian Game Theoretic Approach.
  In IEEE Wireless Communications and Networking Conference (WCNC), 2014.

Network Science

• Kartik Ahuja, Mihaela van der Schaar, William Zame.
  Working alone and working with others: implications for the malthusian era.
  Economic Theory, pp.1-35, 2019.

• Ahmed Alaa, Kartik Ahuja, Mihaela van der Schaar.
  A Micro-Foundation of Social Capital in Evolving Social Networks.
  In IEEE Transactions on Network Science and Engineering vol. 5, no. 1, pp. 14-31, 2017.

• Ahmed Alaa, Kartik Ahuja, Mihaela van der Schaar.
  Self-organizing Networks of Information Gathering Cognitive Agents.
  In IEEE Transactions on Cognitive Communications and Networking, vol. 1. no. 1, pp 100-112, 2015.

• Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar.
  Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism.
  In IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014.

Patents

• Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar, Learning Robust Predictors Using Game Theory, filed December 8, 2020.

• Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar, Initializing Optimization Solvers, filed November 23, 2020.

• Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Murat Kocaglu, Karthikeyan N. Ramamurthy, Conditional Independent Data Generation for Training Machine Learning Systems, filed June 26, 2021.