Kartik Ahuja - RankMe

81 papers A* 15A 4B 2Misc 4Journal 51Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ReasonCACHE: Teaching LLMs To Reason Without Weight Updates. CoRR Sharut Gupta, Phillip Isola, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja, Mark Ibrahim, Mohammad Pezeshki
2026	J	`jnl`	Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability. CoRR Shobhita Sundaram, John Quan, Ariel Kwiatkowski, Kartik Ahuja, Yann Ollivier, Julia Kempe
2025	J	`jnl`	Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries. CoRR Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja
2025	A*	`conf`	Compositional Risk Minimization. ICML Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
2025	A*	`conf`	DRoP: Distributionally Robust Data Pruning. ICLR Artem M. Vysogorets, Kartik Ahuja, Julia Kempe
2025	J	`jnl`	Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling. CoRR Sachin Goyal, David Lopez-Paz, Kartik Ahuja
2025	J	`jnl`	Operationalizing Quantized Disentanglement. CoRR Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
2025	J	`jnl`	Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification. CoRR Konstantin Donhauser, Charles Arnal, Mohammad Pezeshki, Vivien Cabannes, David Lopez-Paz, Kartik Ahuja
2024	J	`jnl`	Compositional Risk Minimization. CoRR Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
2024	A*	`conf`	Context is Environment. ICLR Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
2024	A	`conf`	Multi-Domain Causal Representation Learning via Weak Distributional Invariances. AISTATS Kartik Ahuja, Amin Mansouri, Yixin Wang
2024	J	`jnl`	On Provable Length and Compositional Generalization. CoRR Kartik Ahuja, Amin Mansouri
2024	—	`conf`	On the Identifiability of Quantized Factors. CLeaR Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
2024	J	`jnl`	Robust Data Pruning: Uncovering and Overcoming Implicit Bias. CoRR Artem Vysogorets, Kartik Ahuja, Julia Kempe
2023	J	`jnl`	A Closer Look at In-Context Learning under Distribution Shifts. CoRR Kartik Ahuja, David Lopez-Paz
2023	J	`jnl`	Context is Environment. CoRR Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
2023	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2023	J	`jnl`	Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection. CoRR Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
2023	A*	`conf`	Interventional Causal Representation Learning. ICML Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio
2023	A*	`conf`	Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. NeurIPS Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
2023	A*	`conf`	Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
2023	J	`jnl`	Multi-Domain Causal Representation Learning via Weak Distributional Invariances. CoRR Kartik Ahuja, Amin Mansouri, Yixin Wang
2023	A*	`conf`	Reusable Slotwise Mechanisms. NeurIPS Bailey Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
2023	J	`jnl`	Reusable Slotwise Mechanisms. CoRR Bailey Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
2023	J	`jnl`	WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series. Trans. Mach. Learn. Res. Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish
2023	A*	`conf`	Why does Throwing Away Data Improve Worst-Group Error? ICML Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz
2022	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2022	J	`jnl`	FL Games: A Federated Learning Framework for Distribution Shifts. CoRR Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
2022	J	`jnl`	FL Games: A federated learning framework for distribution shifts. CoRR Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
2022	A	`conf`	Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. AISTATS Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
2022	J	`jnl`	Interventional Causal Representation Learning. CoRR Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
2022	J	`jnl`	Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. CoRR Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya
2022	A*	`conf`	Properties from mechanisms: an equivariance perspective on identifiable representation learning. ICLR Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2022	J	`jnl`	Recycling diverse models for out-of-distribution generalization. CoRR Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
2022	—	`conf`	Towards efficient representation identification in supervised learning. CLeaR Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
2022	J	`jnl`	Towards efficient representation identification in supervised learning. CoRR Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
2022	J	`jnl`	WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks. CoRR Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Guillaume Dumas, Irina Rish
2022	A*	`conf`	Weakly Supervised Representation Learning with Sparse Perturbations. NeurIPS Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2022	J	`jnl`	Weakly Supervised Representation Learning with Sparse Perturbations. CoRR Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2021	A*	`conf`	Adversarial Feature Desensitization. NeurIPS Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
2021	A*	`conf`	Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
2021	J	`jnl`	Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? CoRR Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
2021	A	`conf`	Conditionally independent data generation. UAI Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu
2021	A*	`conf`	Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. ICLR Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2021	J	`jnl`	Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. CoRR Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
2021	A*	`conf`	Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. NeurIPS Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
2021	J	`jnl`	Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
2021	A	`conf`	Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. AISTATS Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
2021	J	`jnl`	Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning. CoRR Kartik Ahuja, Jason S. Hartford, Yoshua Bengio
2021	J	`jnl`	SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization. CoRR Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja, Irina Rish
2021	Misc	`conf`	Treatment Effect Estimation Using Invariant Risk Minimization. ICASSP Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2021	J	`jnl`	Treatment Effect Estimation using Invariant Risk Minimization. CoRR Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2020	J	`jnl`	Dynamic Matching and Allocation of Tasks. ACM Trans. Economics and Comput. Kartik Ahuja, Mihaela van der Schaar
2020	J	`jnl`	Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. CoRR Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2020	A*	`conf`	Invariant Risk Minimization Games. ICML Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020	J	`jnl`	Invariant Risk Minimization Games. CoRR Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020	J	`jnl`	Learning to Initialize Gradient Descent Using Gradient Descent. CoRR Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney
2020	J	`jnl`	Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. CoRR Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
2019	Misc	`conf`	Estimating Kullback-Leibler Divergence Using Kernel Machines. ACSSC Kartik Ahuja
2019	J	`jnl`	Estimating Kullback-Leibler Divergence Using Kernel Machines. CoRR Kartik Ahuja
2019	Misc	`conf`	Joint Concordance Index. ACSSC Kartik Ahuja, Mihaela van der Schaar
2019	Misc	`conf`	Optimal Piecewise Approximations for Model Interpretation. ACSSC Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2019	—	`—`	Optimization Methods for Resource Allocation and Machine Learning Applications. Kartik Ahuja
2018	J	`jnl`	A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2018	J	`jnl`	Piecewise Approximations of Black Box Models for Model Interpretation. CoRR Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2018	J	`jnl`	Risk-Stratify: Confident Stratification Of Patients Based On Risk. CoRR Kartik Ahuja, Mihaela van der Schaar
2017	—	`conf`	DPSCREEN: Dynamic Personalized Screening. NIPS Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2016	J	`jnl`	Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection. CoRR Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	A Micro-foundation of Social Capital in Evolving Social Networks. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Distributed Interference Management Policies for Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Efficient Interference Management Policies for Femtocell Networks. CoRR Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Efficient Interference Management Policies for Femtocell Networks. IEEE Trans. Wirel. Commun. Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Evolution of Social Networks: A Microfounded Model. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Self-organizing Networks of Information Gathering Cognitive Agents. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	The Population Dynamics of Websites: [Extended Abstract]. SIGMETRICS Perform. Evaluation Rev. Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
2014	J	`jnl`	Distributed Interference Management Policies for Heterogeneous Small Cell Networks. CoRR Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2014	B	`conf`	Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. GLOBECOM Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar
2014	B	`conf`	To participate or not in spectrum auctions with entry fee: Bayesian game theoretic approach. WCNC Kartik Ahuja, Mai H. Hassan, Md. Jahangir Hossain
2014	J	`jnl`	Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism. CoRR Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
2014	—	`conf`	Towards a theory of societal co-evolution: Individualism versus collectivism. GlobalSIP Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar