default search action
BibTeX records: Chirag Pabbaraju
@inproceedings{DBLP:conf/alt/Pabbaraju24, author = {Chirag Pabbaraju}, editor = {Claire Vernade and Daniel Hsu}, title = {Multiclass Learnability Does Not Imply Sample Compression}, booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February 2024, La Jolla, California, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {237}, pages = {930--944}, publisher = {{PMLR}}, year = {2024}, url = {https://proceedings.mlr.press/v237/pabbaraju24a.html}, timestamp = {Mon, 13 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/alt/Pabbaraju24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2405-15116, author = {Moses Charikar and Chirag Pabbaraju and Kirankumar Shiragur}, title = {Quantifying the Gain in Weak-to-Strong Generalization}, journal = {CoRR}, volume = {abs/2405.15116}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2405.15116}, doi = {10.48550/ARXIV.2405.15116}, eprinttype = {arXiv}, eprint = {2405.15116}, timestamp = {Wed, 19 Jun 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2405-15116.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2406-15916, author = {Roi Livni and Shay Moran and Kobbi Nissim and Chirag Pabbaraju}, title = {Credit Attribution and Stable Compression}, journal = {CoRR}, volume = {abs/2406.15916}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2406.15916}, doi = {10.48550/ARXIV.2406.15916}, eprinttype = {arXiv}, eprint = {2406.15916}, timestamp = {Tue, 16 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2406-15916.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/LeePSR23, author = {Holden Lee and Chirag Pabbaraju and Anish Prasad Sevekari and Andrej Risteski}, title = {Pitfalls of Gaussians as a noise distribution in {NCE}}, booktitle = {The Eleventh International Conference on Learning Representations, {ICLR} 2023, Kigali, Rwanda, May 1-5, 2023}, publisher = {OpenReview.net}, year = {2023}, url = {https://openreview.net/forum?id=ovZE0KsbM3S}, timestamp = {Wed, 24 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/iclr/LeePSR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/BlancLPSTT23, author = {Guy Blanc and Jane Lange and Chirag Pabbaraju and Colin Sullivan and Li{-}Yang Tan and Mo Tiwari}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {Harnessing the power of choices in decision tree learning}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, year = {2023}, url = {http://papers.nips.cc/paper\_files/paper/2023/hash/fddad60891bdf85aac8041f80ed022df-Abstract-Conference.html}, timestamp = {Fri, 01 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/BlancLPSTT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/PabbarajuRSLMR23, author = {Chirag Pabbaraju and Dhruv Rohatgi and Anish Prasad Sevekari and Holden Lee and Ankur Moitra and Andrej Risteski}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {Provable benefits of score matching}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, year = {2023}, url = {http://papers.nips.cc/paper\_files/paper/2023/hash/c11f8d40c119867e30e3421f696f931d-Abstract-Conference.html}, timestamp = {Fri, 01 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/PabbarajuRSLMR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/stoc/CharikarP23, author = {Moses Charikar and Chirag Pabbaraju}, editor = {Barna Saha and Rocco A. Servedio}, title = {A Characterization of List Learnability}, booktitle = {Proceedings of the 55th Annual {ACM} Symposium on Theory of Computing, {STOC} 2023, Orlando, FL, USA, June 20-23, 2023}, pages = {1713--1726}, publisher = {{ACM}}, year = {2023}, url = {https://doi.org/10.1145/3564246.3585190}, doi = {10.1145/3564246.3585190}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/stoc/CharikarP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2306-01993, author = {Chirag Pabbaraju and Dhruv Rohatgi and Anish Prasad Sevekari and Holden Lee and Ankur Moitra and Andrej Risteski}, title = {Provable benefits of score matching}, journal = {CoRR}, volume = {abs/2306.01993}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2306.01993}, doi = {10.48550/ARXIV.2306.01993}, eprinttype = {arXiv}, eprint = {2306.01993}, timestamp = {Mon, 12 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2306-01993.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2308-06424, author = {Chirag Pabbaraju}, title = {Multiclass Learnability Does Not Imply Sample Compression}, journal = {CoRR}, volume = {abs/2308.06424}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2308.06424}, doi = {10.48550/ARXIV.2308.06424}, eprinttype = {arXiv}, eprint = {2308.06424}, timestamp = {Wed, 23 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2308-06424.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2310-01551, author = {Guy Blanc and Jane Lange and Chirag Pabbaraju and Colin Sullivan and Li{-}Yang Tan and Mo Tiwari}, title = {Harnessing the Power of Choices in Decision Tree Learning}, journal = {CoRR}, volume = {abs/2310.01551}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2310.01551}, doi = {10.48550/ARXIV.2310.01551}, eprinttype = {arXiv}, eprint = {2310.01551}, timestamp = {Thu, 19 Oct 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2310-01551.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2311-11194, author = {Shivam Garg and Chirag Pabbaraju and Kirankumar Shiragur and Gregory Valiant}, title = {Testing with Non-identically Distributed Samples}, journal = {CoRR}, volume = {abs/2311.11194}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2311.11194}, doi = {10.48550/ARXIV.2311.11194}, eprinttype = {arXiv}, eprint = {2311.11194}, timestamp = {Thu, 23 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2311-11194.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2312-02435, author = {Moses Charikar and Spencer Compton and Chirag Pabbaraju}, title = {Average-Case Dimensionality Reduction in {\unicode{120001}}\({}_{\mbox{1}}\): Tree Ising Models}, journal = {CoRR}, volume = {abs/2312.02435}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2312.02435}, doi = {10.48550/ARXIV.2312.02435}, eprinttype = {arXiv}, eprint = {2312.02435}, timestamp = {Wed, 13 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2312-02435.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2210-00189, author = {Holden Lee and Chirag Pabbaraju and Anish Prasad Sevekari and Andrej Risteski}, title = {Pitfalls of Gaussians as a noise distribution in {NCE}}, journal = {CoRR}, volume = {abs/2210.00189}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2210.00189}, doi = {10.48550/ARXIV.2210.00189}, eprinttype = {arXiv}, eprint = {2210.00189}, timestamp = {Fri, 07 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2210-00189.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2211-04956, author = {Moses Charikar and Chirag Pabbaraju}, title = {A Characterization of List Learnability}, journal = {CoRR}, volume = {abs/2211.04956}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2211.04956}, doi = {10.48550/ARXIV.2211.04956}, eprinttype = {arXiv}, eprint = {2211.04956}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2211-04956.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/PabbarajuWK21, author = {Chirag Pabbaraju and Ezra Winston and J. Zico Kolter}, title = {Estimating Lipschitz constants of monotone deep equilibrium models}, booktitle = {9th International Conference on Learning Representations, {ICLR} 2021, Virtual Event, Austria, May 3-7, 2021}, publisher = {OpenReview.net}, year = {2021}, url = {https://openreview.net/forum?id=VcB4QkSfyO}, timestamp = {Wed, 23 Jun 2021 17:36:39 +0200}, biburl = {https://dblp.org/rec/conf/iclr/PabbarajuWK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/LeePSR21, author = {Holden Lee and Chirag Pabbaraju and Anish Prasad Sevekari and Andrej Risteski}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {Universal Approximation Using Well-Conditioned Normalizing Flows}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {12700--12711}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/69ec5030f78a9b735402d133317bf5f6-Abstract.html}, timestamp = {Tue, 03 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/LeePSR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2107-02951, author = {Holden Lee and Chirag Pabbaraju and Anish Prasad Sevekari and Andrej Risteski}, title = {Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows}, journal = {CoRR}, volume = {abs/2107.02951}, year = {2021}, url = {https://arxiv.org/abs/2107.02951}, eprinttype = {arXiv}, eprint = {2107.02951}, timestamp = {Tue, 05 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2107-02951.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/PabbarajuWK20, author = {Chirag Pabbaraju and Po{-}Wei Wang and J. Zico Kolter}, editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin}, title = {Efficient semidefinite-programming-based inference for binary and multi-class MRFs}, booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual}, year = {2020}, url = {https://proceedings.neurips.cc/paper/2020/hash/2cb274e6ce940f47beb8011d8ecb1462-Abstract.html}, timestamp = {Tue, 19 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/PabbarajuWK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2012-02661, author = {Chirag Pabbaraju and Po{-}Wei Wang and J. Zico Kolter}, title = {Efficient semidefinite-programming-based inference for binary and multi-class MRFs}, journal = {CoRR}, volume = {abs/2012.02661}, year = {2020}, url = {https://arxiv.org/abs/2012.02661}, eprinttype = {arXiv}, eprint = {2012.02661}, timestamp = {Wed, 09 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2012-02661.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uist/PatilDPSSSV019, author = {Shishir G. Patil and Don Kurian Dennis and Chirag Pabbaraju and Nadeem Shaheer and Harsha Vardhan Simhadri and Vivek Seshadri and Manik Varma and Prateek Jain}, editor = {Fran{\c{c}}ois Guimbreti{\`{e}}re and Michael S. Bernstein and Katharina Reinecke}, title = {GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users}, booktitle = {Proceedings of the 32nd Annual {ACM} Symposium on User Interface Software and Technology, {UIST} 2019, New Orleans, LA, USA, October 20-23, 2019}, pages = {403--415}, publisher = {{ACM}}, year = {2019}, url = {https://doi.org/10.1145/3332165.3347881}, doi = {10.1145/3332165.3347881}, timestamp = {Fri, 04 Feb 2022 08:27:42 +0100}, biburl = {https://dblp.org/rec/conf/uist/PatilDPSSSV019.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1907-05638, author = {Chirag Pabbaraju and Prateek Jain}, title = {Learning Functions over Sets via Permutation Adversarial Networks}, journal = {CoRR}, volume = {abs/1907.05638}, year = {2019}, url = {http://arxiv.org/abs/1907.05638}, eprinttype = {arXiv}, eprint = {1907.05638}, timestamp = {Wed, 17 Jul 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1907-05638.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/DennisPS018, author = {Don Kurian Dennis and Chirag Pabbaraju and Harsha Vardhan Simhadri and Prateek Jain}, editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicol{\`{o}} Cesa{-}Bianchi and Roman Garnett}, title = {Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices}, booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montr{\'{e}}al, Canada}, pages = {10976--10987}, year = {2018}, url = {https://proceedings.neurips.cc/paper/2018/hash/d9fbed9da256e344c1fa46bb46c34c5f-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/DennisPS018.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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.