default search action
Kartik Ahuja
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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 - [i37]Kartik Ahuja, Amin Mansouri:
On Provable Length and Compositional Generalization. CoRR abs/2402.04875 (2024) - [i36]Artem Vysogorets, Kartik Ahuja, Julia Kempe:
Robust Data Pruning: Uncovering and Overcoming Implicit Bias. CoRR abs/2404.05579 (2024) - [i35]Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent:
Compositional Risk Minimization. CoRR abs/2410.06303 (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
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
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
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions. AISTATS 2021: 1270-1278 - [c14]Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 21:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: