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Kartik Ahuja
Kartik Ahuja
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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
2122020
Invariance principle meets information bottleneck for out-of-distribution generalization
K Ahuja, E Caballero, D Zhang, JC Gagnon-Audet, Y Bengio, I Mitliagkas, ...
NeurIPS 2021 (Spotlight) 34, 3438-3450, 2021
1472021
Can subnetwork structure be the key to out-of-distribution generalization?
D Zhang, K Ahuja, Y Xu, Y Wang, A Courville
ICML 2021, Long Talk, 12356-12367, 2021
682021
Empirical or invariant risk minimization? a sample complexity perspective
K Ahuja, J Wang, A Dhurandhar, K Shanmugam, KR Varshney
ICLR 2021, arXiv preprint arXiv:2010.16412, 2020
602020
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
392021
Weakly supervised representation learning with sparse perturbations
K Ahuja, JS Hartford, Y Bengio
Advances in Neural Information Processing Systems 35, 15516-15528, 2022
302022
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
292015
Interventional causal representation learning
K Ahuja, Y Wang, D Mahajan, Y Bengio
ICML 2023 (Oral), arXiv preprint arXiv:2209.11924, 2022
282022
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
ICLR 2022 (Spotlight), arXiv preprint arXiv:2110.15796, 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
212017
Dpscreen: Dynamic personalized screening
K Ahuja, W Zame, M van der Schaar
Advances in Neural Information Processing Systems 30, 2017
182017
Model ratatouille: Recycling diverse models for out-of-distribution generalization
A Rame, K Ahuja, J Zhang, M Cord, L Bottou, D Lopez-Paz
ICML 2023, 2023
17*2023
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
JC Gagnon-Audet, K Ahuja, MJ Darvishi-Bayazi, P Mousavi, G Dumas, ...
arXiv preprint arXiv:2203.09978, 2022
142022
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
142021
Estimating kullback-leibler divergence using kernel machines
K Ahuja
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 690-696, 2019
142019
FL Games: A federated learning framework for distribution shifts
S Gupta, K Ahuja, M Havaei, N Chatterjee, Y Bengio
arXiv preprint arXiv:2205.11101, 2022
122022
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
122021
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
122015
Working alone and working with others: implications for the malthusian era
K Ahuja, M van der Schaar, WR Zame
Economic Theory 71, 841-875, 2021
11*2021
Towards efficient representation identification in supervised learning
K Ahuja, D Mahajan, V Syrgkanis, I Mitliagkas
Conference on Causal Learning and Reasoning, 19-43, 2022
82022
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Articles 1–20