Kartik Ahuja

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Coordinate Systems

Adverse Selection

Risk Minimization

Management Policies

Top Venues

Publications

Artem Vysogorets, Kartik Ahuja, Julia Kempe
Robust Data Pruning: Uncovering and Overcoming Implicit Bias. CoRR (2024)
Kartik Ahuja, Amin Mansouri, Yixin Wang
Multi-Domain Causal Representation Learning via Weak Distributional Invariances. AISTATS (2024)
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
Context is Environment. ICLR (2024)
Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
On the Identifiability of Quantized Factors. CLeaR (2024)
Kartik Ahuja, Amin Mansouri
On Provable Length and Compositional Generalization. CoRR (2024)
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)
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)
Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
Reusable Slotwise Mechanisms. CoRR (2023)
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
Context is Environment. CoRR (2023)
Kartik Ahuja, Amin Mansouri, Yixin Wang
Multi-Domain Causal Representation Learning via Weak Distributional Invariances. CoRR (2023)
Kartik Ahuja, David Lopez-Paz
A Closer Look at In-Context Learning under Distribution Shifts. CoRR (2023)
Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
Reusable Slotwise Mechanisms. NeurIPS (2023)
Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz
Why does Throwing Away Data Improve Worst-Group Error? ICML (2023)
Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio
Interventional Causal Representation Learning. ICML (2023)
Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection. CoRR (2023)
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)
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. NeurIPS (2023)
Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
Interventional Causal Representation Learning. CoRR (2022)
Kartik Ahuja, Jason Hartford, Yoshua Bengio
Properties from mechanisms: an equivariance perspective on identifiable representation learning. ICLR (2022)
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. AISTATS (2022)
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 (2022)
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 (2022)
Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
Towards efficient representation identification in supervised learning. CLeaR (2022)
Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
Weakly Supervised Representation Learning with Sparse Perturbations. NeurIPS (2022)
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
Recycling diverse models for out-of-distribution generalization. CoRR (2022)
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
FL Games: A federated learning framework for distribution shifts. CoRR (2022)
Kartik Ahuja, Jason Hartford, Yoshua Bengio
Weakly Supervised Representation Learning with Sparse Perturbations. CoRR (2022)
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
FL Games: A Federated Learning Framework for Distribution Shifts. CoRR (2022)
Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. CoRR (2022)
Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
Towards efficient representation identification in supervised learning. CoRR (2022)
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. ICLR (2021)
Kartik Ahuja, Jason Hartford, Yoshua Bengio
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning. CoRR (2021)
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML (2021)
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. NeurIPS (2021)
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. AISTATS (2021)
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
Treatment Effect Estimation using Invariant Risk Minimization. CoRR (2021)
Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu
Conditionally independent data generation. UAI (2021)
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. CoRR (2021)
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? CoRR (2021)
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 (2021)
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)
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
Treatment Effect Estimation Using Invariant Risk Minimization. ICASSP (2021)
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR (2021)
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. CoRR (2020)
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
Invariant Risk Minimization Games. ICML (2020)
Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney
Learning to Initialize Gradient Descent Using Gradient Descent. CoRR (2020)
Kartik Ahuja, Mihaela van der Schaar
Dynamic Matching and Allocation of Tasks. ACM Trans. Economics and Comput. 7 (4) (2020)
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
Invariant Risk Minimization Games. CoRR (2020)
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. CoRR (2020)
Kartik Ahuja, Mihaela van der Schaar
Joint Concordance Index. ACSSC (2019)
Kartik Ahuja
Estimating Kullback-Leibler Divergence Using Kernel Machines. ACSSC (2019)
Kartik Ahuja
Estimating Kullback-Leibler Divergence Using Kernel Machines. CoRR (2019)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
Optimal Piecewise Approximations for Model Interpretation. ACSSC (2019)
Kartik Ahuja, Mihaela van der Schaar
Risk-Stratify: Confident Stratification Of Patients Based On Risk. CoRR (2018)
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) (2018)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
Piecewise Approximations of Black Box Models for Model Interpretation. CoRR (2018)
Kartik Ahuja, William R. Zame, Mihaela van der Schaar
DPSCREEN: Dynamic Personalized Screening. NIPS (2017)
Kartik Ahuja, Mihaela van der Schaar
Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection. CoRR (2016)
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
Efficient Interference Management Policies for Femtocell Networks. IEEE Trans. Wirel. Commun. 14 (9) (2015)
Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
The Population Dynamics of Websites: [Extended Abstract]. SIGMETRICS Perform. Evaluation Rev. 43 (3) (2015)
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
Efficient Interference Management Policies for Femtocell Networks. CoRR (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Self-organizing Networks of Information Gathering Cognitive Agents. CoRR (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. 1 (1) (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
A Micro-foundation of Social Capital in Evolving Social Networks. CoRR (2015)
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. 33 (6) (2015)
Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
Evolution of Social Networks: A Microfounded Model. CoRR (2015)
Kartik Ahuja, Mai H. Hassan, Md. Jahangir Hossain
To participate or not in spectrum auctions with entry fee: Bayesian game theoretic approach. WCNC (2014)
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. CoRR (2014)
Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar
Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. GLOBECOM (2014)
Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism. CoRR (2014)
Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
Towards a theory of societal co-evolution: Individualism versus collectivism. GlobalSIP (2014)