| Invariant risk minimization games K Ahuja, K Shanmugam, K Varshney, A Dhurandhar International Conference on Machine Learning, 145-155, 2020 | 161 | 2020 |
| Invariance principle meets information bottleneck for out-of-distribution generalization K Ahuja, E Caballero, D Zhang, JC Gagnon-Audet, Y Bengio, I Mitliagkas, ... Advances in Neural Information Processing Systems 34, 3438-3450, 2021 | 61 | 2021 |
| Empirical or invariant risk minimization? a sample complexity perspective K Ahuja, J Wang, A Dhurandhar, K Shanmugam, KR Varshney arXiv preprint arXiv:2010.16412, 2020 | 50 | 2020 |
| Can subnetwork structure be the key to out-of-distribution generalization? D Zhang, K Ahuja, Y Xu, Y Wang, A Courville International Conference on Machine Learning, 12356-12367, 2021 | 40 | 2021 |
| Distributed interference management policies for heterogeneous small cell networks K Ahuja, Y Xiao, M van der Schaar IEEE Journal on Selected Areas in Communications 33 (6), 1112-1126, 2015 | 30 | 2015 |
| Sand-mask: An enhanced gradient masking strategy for the discovery of invariances in domain generalization S Shahtalebi, JC Gagnon-Audet, T Laleh, M Faramarzi, K Ahuja, I Rish arXiv preprint arXiv:2106.02266, 2021 | 22 | 2021 |
| A micro-foundation of social capital in evolving social networks AM Alaa, K Ahuja, M van der Schaar IEEE Transactions on Network Science and Engineering 5 (1), 14-31, 2017 | 17 | 2017 |
| Dpscreen: Dynamic personalized screening K Ahuja, W Zame, M van der Schaar Advances in Neural Information Processing Systems 30, 2017 | 17 | 2017 |
| Estimating kullback-leibler divergence using kernel machines K Ahuja 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 690-696, 2019 | 13 | 2019 |
| Properties from mechanisms: an equivariance perspective on identifiable representation learning K Ahuja, J Hartford, Y Bengio arXiv preprint arXiv:2110.15796, 2021 | 11 | 2021 |
| Efficient interference management policies for femtocell networks K Ahuja, Y Xiao, M van der Schaar IEEE Transactions on Wireless Communications 14 (9), 4879-4893, 2015 | 11 | 2015 |
| Linear regression games: Convergence guarantees to approximate out-of-distribution solutions K Ahuja, K Shanmugam, A Dhurandhar International Conference on Artificial Intelligence and Statistics, 1270-1278, 2021 | 9 | 2021 |
| Adversarial feature desensitization P Bashivan, R Bayat, A Ibrahim, K Ahuja, M Faramarzi, T Laleh, ... Advances in Neural Information Processing Systems 34, 10665-10677, 2021 | 6 | 2021 |
| A Theory of Individualism, Collectivism and Economic Outcomes K Ahuja, M van der Schaar, WR Zame arXiv preprint arXiv:1512.01230, 2015 | 6 | 2015 |
| Self-organizing networks of information gathering cognitive agents AM Alaa, K Ahuja, M Van der Schaar IEEE Transactions on Cognitive Communications and Networking 1 (1), 100-112, 2015 | 5 | 2015 |
| Towards a theory of societal co-evolution: Individualism versus collectivism K Ahuja, S Zhang, M van der Schaar 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 5 | 2014 |
| Woods: Benchmarks for out-of-distribution generalization in time series tasks JC Gagnon-Audet, K Ahuja, MJ Darvishi-Bayazi, G Dumas, I Rish arXiv preprint arXiv:2203.09978, 2022 | 4 | 2022 |
| Dynamic Matching and Allocation of Tasks K Ahuja, M van der Schaar arXiv preprint arXiv:1602.02439, 2016 | 4* | 2016 |
| Spectrum sharing for delay-sensitive applications with continuing QoS guarantees Y Xiao, K Ahuja, M van der Schaar 2014 IEEE Global Communications Conference, 1265-1270, 2014 | 4 | 2014 |
| Towards efficient representation identification in supervised learning K Ahuja, D Mahajan, V Syrgkanis, I Mitliagkas Conference on Causal Learning and Reasoning, 19-43, 2022 | 3 | 2022 |
