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Kartik Ahuja
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2020 – today
- 2024
- [c27]Kartik Ahuja, Amin Mansouri, Yixin Wang:
Multi-Domain Causal Representation Learning via Weak Distributional Invariances. AISTATS 2024: 865-873 - [c26]Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent:
On the Identifiability of Quantized Factors. CLeaR 2024: 384-422 - [c25]Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja:
Context is Environment. ICLR 2024 - [i36]Kartik Ahuja, Amin Mansouri:
On Provable Length and Compositional Generalization. CoRR abs/2402.04875 (2024) - [i35]Artem Vysogorets, Kartik Ahuja, Julia Kempe:
Robust Data Pruning: Uncovering and Overcoming Implicit Bias. CoRR abs/2404.05579 (2024) - 2023
- [j8]Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish:
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. 2023 (2023) - [c24]Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio:
Interventional Causal Representation Learning. ICML 2023: 372-407 - [c23]Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz:
Why does Throwing Away Data Improve Worst-Group Error? ICML 2023: 4144-4188 - [c22]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML 2023: 28656-28679 - [c21]Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya:
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. NeurIPS 2023 - [c20]Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio:
Reusable Slotwise Mechanisms. NeurIPS 2023 - [i34]Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio:
Reusable Slotwise Mechanisms. CoRR abs/2302.10503 (2023) - [i33]Kartik Ahuja, David Lopez-Paz:
A Closer Look at In-Context Learning under Distribution Shifts. CoRR abs/2305.16704 (2023) - [i32]Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent:
Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection. CoRR abs/2306.16334 (2023) - [i31]Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja:
Context is Environment. CoRR abs/2309.09888 (2023) - [i30]Kartik Ahuja, Amin Mansouri, Yixin Wang:
Multi-Domain Causal Representation Learning via Weak Distributional Invariances. CoRR abs/2310.02854 (2023) - 2022
- [c19]Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja:
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. AISTATS 2022: 5538-5562 - [c18]Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas:
Towards efficient representation identification in supervised learning. CLeaR 2022: 19-43 - [c17]Kartik Ahuja, Jason S. Hartford, Yoshua Bengio:
Properties from mechanisms: an equivariance perspective on identifiable representation learning. ICLR 2022 - [c16]Kartik Ahuja, Jason S. Hartford, Yoshua Bengio:
Weakly Supervised Representation Learning with Sparse Perturbations. NeurIPS 2022 - [i29]Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya:
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. CoRR abs/2201.12143 (2022) - [i28]Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Guillaume Dumas, Irina Rish:
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks. CoRR abs/2203.09978 (2022) - [i27]Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas:
Towards efficient representation identification in supervised learning. CoRR abs/2204.04606 (2022) - [i26]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A federated learning framework for distribution shifts. CoRR abs/2205.11101 (2022) - [i25]Kartik Ahuja, Jason S. Hartford, Yoshua Bengio:
Weakly Supervised Representation Learning with Sparse Perturbations. CoRR abs/2206.01101 (2022) - [i24]Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio:
Interventional Causal Representation Learning. CoRR abs/2209.11924 (2022) - [i23]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. CoRR abs/2211.00184 (2022) - [i22]Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR abs/2211.08583 (2022) - [i21]Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. CoRR abs/2212.10445 (2022) - 2021
- [c15]Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar:
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. AISTATS 2021: 1270-1278 - [c14]Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar:
Treatment Effect Estimation Using Invariant Risk Minimization. ICASSP 2021: 5005-5009 - [c13]Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney:
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. ICLR 2021 - [c12]Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville:
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021: 12356-12367 - [c11]Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish:
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. NeurIPS 2021: 3438-3450 - [c10]Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish:
Adversarial Feature Desensitization. NeurIPS 2021: 10665-10677 - [c9]Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu:
Conditionally independent data generation. UAI 2021: 2050-2060 - [i20]Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar:
Treatment Effect Estimation using Invariant Risk Minimization. CoRR abs/2103.07788 (2021) - [i19]Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja, Irina Rish:
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization. CoRR abs/2106.02266 (2021) - [i18]Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville:
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? CoRR abs/2106.02890 (2021) - [i17]Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish:
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR abs/2106.06607 (2021) - [i16]Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja:
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. CoRR abs/2106.11560 (2021) - [i15]Kartik Ahuja, Jason S. Hartford, Yoshua Bengio:
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning. CoRR abs/2110.15796 (2021) - 2020
- [j6]Kartik Ahuja, Mihaela van der Schaar:
Dynamic Matching and Allocation of Tasks. ACM Trans. Economics and Comput. 7(4): 19:1-19:27 (2020) - [c8]Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar:
Invariant Risk Minimization Games. ICML 2020: 145-155 - [i14]Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar:
Invariant Risk Minimization Games. CoRR abs/2002.04692 (2020) - [i13]Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar:
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. CoRR abs/2010.15234 (2020) - [i12]Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney:
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. CoRR abs/2010.16412 (2020) - [i11]Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney:
Learning to Initialize Gradient Descent Using Gradient Descent. CoRR abs/2012.12141 (2020)
2010 – 2019
- 2019
- [b1]Kartik Ahuja:
Optimization Methods for Resource Allocation and Machine Learning Applications. University of California, Los Angeles, USA, 2019 - [c7]Kartik Ahuja:
Estimating Kullback-Leibler Divergence Using Kernel Machines. ACSSC 2019: 690-696 - [c6]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
Optimal Piecewise Approximations for Model Interpretation. ACSSC 2019: 1992-1998 - [c5]Kartik Ahuja, Mihaela van der Schaar:
Joint Concordance Index. ACSSC 2019: 2206-2213 - [i10]Kartik Ahuja:
Estimating Kullback-Leibler Divergence Using Kernel Machines. CoRR abs/1905.00586 (2019) - 2018
- [j5]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. 5(1): 14-31 (2018) - [i9]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
Piecewise Approximations of Black Box Models for Model Interpretation. CoRR abs/1806.10270 (2018) - [i8]Kartik Ahuja, Mihaela van der Schaar:
Risk-Stratify: Confident Stratification Of Patients Based On Risk. CoRR abs/1811.00753 (2018) - 2017
- [c4]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
DPSCREEN: Dynamic Personalized Screening. NIPS 2017: 1321-1332 - 2016
- [i7]Kartik Ahuja, Mihaela van der Schaar:
Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection. CoRR abs/1602.02439 (2016) - 2015
- [j4]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. 33(6): 1112-1126 (2015) - [j3]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
The Population Dynamics of Websites: [Extended Abstract]. SIGMETRICS Perform. Evaluation Rev. 43(3): 53-56 (2015) - [j2]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. 1(1): 100-112 (2015) - [j1]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Efficient Interference Management Policies for Femtocell Networks. IEEE Trans. Wirel. Commun. 14(9): 4879-4893 (2015) - [i6]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Self-organizing Networks of Information Gathering Cognitive Agents. CoRR abs/1503.04768 (2015) - [i5]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Efficient Interference Management Policies for Femtocell Networks. CoRR abs/1504.07009 (2015) - [i4]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Evolution of Social Networks: A Microfounded Model. CoRR abs/1508.00205 (2015) - [i3]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
A Micro-foundation of Social Capital in Evolving Social Networks. CoRR abs/1511.02429 (2015) - 2014
- [c3]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
Towards a theory of societal co-evolution: Individualism versus collectivism. GlobalSIP 2014: 769-773 - [c2]Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar:
Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. GLOBECOM 2014: 1265-1270 - [c1]Kartik Ahuja, Mai H. Hassan, Md. Jahangir Hossain:
To participate or not in spectrum auctions with entry fee: Bayesian game theoretic approach. WCNC 2014: 1614-1619 - [i2]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. CoRR abs/1411.5102 (2014) - [i1]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism. CoRR abs/1411.5107 (2014)
Coauthor Index
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last updated on 2024-08-14 23:19 CEST by the dblp team
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