Kartik Ahuja
According to our database1,
Kartik Ahuja
authored at least 50 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Causal Learning and Reasoning, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Properties from mechanisms: an equivariance perspective on identifiable representation learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization.
CoRR, 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
PhD thesis, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Netw. Sci. Eng., 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
CoRR, 2016
2015
IEEE Trans. Wirel. Commun., 2015
IEEE Trans. Cogn. Commun. Netw., 2015
SIGMETRICS Perform. Evaluation Rev., 2015
IEEE J. Sel. Areas Commun., 2015
2014
To participate or not in spectrum auctions with entry fee: Bayesian game theoretic approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Proceedings of the IEEE Global Communications Conference, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014