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Kartik Ahuja
Kartik Ahuja
Postdoctoral fellow, Mila
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
Invariant risk minimization games
K Ahuja, K Shanmugam, K Varshney, A Dhurandhar
International Conference on Machine Learning, 145-155, 2020
1222020
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
412020
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
332021
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
302015
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
242021
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
172017
Dpscreen: Dynamic personalized screening
K Ahuja, W Zame, M van der Schaar
Advances in Neural Information Processing Systems 30, 2017
162017
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
112021
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
112015
Estimating kullback-leibler divergence using kernel machines
K Ahuja
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 690-696, 2019
102019
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
62021
A Theory of Individualism, Collectivism and Economic Outcomes
K Ahuja, M van der Schaar, WR Zame
arXiv preprint arXiv:1512.01230, 2015
52015
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
52014
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
arXiv preprint arXiv:2110.15796, 2021
42021
Dynamic Matching and Allocation of Tasks
K Ahuja, M van der Schaar
arXiv preprint arXiv:1602.02439, 2016
4*2016
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
42015
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
42014
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
32021
Working alone and working with others: implications for the malthusian era
K Ahuja, M van der Schaar, WR Zame
Economic Theory 71 (3), 841-875, 2021
22021
Optimization Methods for Resource Allocation and Machine Learning Applications
K Ahuja
University of California, Los Angeles, 2019
22019
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Articles 1–20