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Author search results
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- Daniel Kane 0002
![[0000-0002-0220-9962]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0220-9962")
Utah State University, Logan, UT, USA - Daniel M. Kane
aka: Daniel Kane 0001
University of California, San Diego, Department of Computer Science and Engineering, La Jolla, CA, USA
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Publication search results
found 402 matches
- 2024
- Keith Feldman
, Natalie J. Kane, Stacey Daniels-Young, Bruce Reed, Jessica Welch, Lauren Fitzpatrick, Mark A. Hoffman, Andrea Bradley-Ewing, Elin Grundberg:
Utilization of geospatial distribution in the measurement of study cohort representativeness. J. Biomed. Informatics 157: 104687 (2024) - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. TheoretiCS 3 (2024) - Maya A Kaneko, Caitlin Lustig, Daniela K. Rosner, Audrey Desjardins:
Care Layering: Complicating Design Patterns. Conference on Designing Interactive Systems 2024 - Caitlin Lustig, Maya A Kaneko, Meghna Gupta, Kavita Dattani, Audrey Desjardins, Daniela K. Rosner:
Porous by Design: How Childcare Platforms Impact Worker Personhood, Safety, and Connection. Conference on Designing Interactive Systems 2024 - Yuqian Cheng, Daniel M. Kane, Zhicheng Zheng:
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions. COLT 2024: 2768-2794 - Ilias Diakonikolas, Daniel M. Kane:
Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials. COLT 2024: 1364-1378 - Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis:
Testable Learning of General Halfspaces with Adversarial Label Noise. COLT 2024: 1308-1335 - Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis:
Statistical Query Lower Bounds for Learning Truncated Gaussians. COLT 2024: 1336-1363 - Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. ICML 2024 - Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu:
Online Robust Mean Estimation. SODA 2024: 3197-3235 - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs. STOC 2024: 152-159 - Ilias Diakonikolas, Daniel M. Kane, Sihan Liu:
Testing Closeness of Multivariate Distributions via Ramsey Theory. STOC 2024: 340-347 - Daniel M. Kane, Anthony Ostuni, Kewen Wu:
Locality Bounds for Sampling Hamming Slices. STOC 2024: 1279-1286 - Kris Hauser, Eleanor Watson, Joonbum Bae, Josh Bankston, Sven Behnke, Bill Borgia, Manuel G. Catalano, Stefano Dafarra, Jan B. F. van Erp, Thomas Ferris, Jeremy Fishel, Guy Hoffman, Serena Ivaldi, Fumio Kanehiro, Abderrahmane Kheddar, Gaelle Lannuzel, Jacquelyn Ford Morie, Patrick Naughton, Steve NGuyen, Paul Y. Oh, Taskin Padir, Jim Pippine, Jaeheung Park, Daniele Pucci, Jean Chagas Vaz, Peter Whitney, Peggy Wu, David Locke:
Analysis and Perspectives on the ANA Avatar XPRIZE Competition. CoRR abs/2401.05290 (2024) - Daniel M. Kane, Anthony Ostuni, Kewen Wu:
Locality Bounds for Sampling Hamming Slices. CoRR abs/2402.14278 (2024) - Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis:
Statistical Query Lower Bounds for Learning Truncated Gaussians. CoRR abs/2403.02300 (2024) - Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun:
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions. CoRR abs/2403.04744 (2024) - Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas:
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. CoRR abs/2403.10416 (2024) - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs. CoRR abs/2404.00529 (2024) - Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye:
Replicability in High Dimensional Statistics. CoRR abs/2406.02628 (2024) - Bhargav Reddy Godala, Sankara Prasad Ramesh, Krishnam Tibrewala, Chrysanthos Pepi, Gino Chacon, Svilen Kanev, Gilles A. Pokam, Daniel A. Jiménez, Paul V. Gratz, David I. August:
Correct Wrong Path. CoRR abs/2408.05912 (2024) - Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise. CoRR abs/2408.17165 (2024) - Daniel M. Kane, Anthony Ostuni, Kewen Wu:
Locality Bounds for Sampling Hamming Slices. Electron. Colloquium Comput. Complex. TR24 (2024) - 2023
- Theresa Green, Wade H. Goodridge, Daniel Kane, Natalie L. Shaheen:
Spatial Strategies Employed by Blind and Low-Vision (BLV) Individuals on the Tactile Mental Cutting Test (TMCT). Int. J. Eng. Pedagog. 13(5): 42-57 (2023) - Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Shaun K. Kane, Meredith Ringel Morris, Richard Cave, Robert L. MacDonald, Jon Campbell, Blair Casey, Emily Kornman, Daniel E. Vance, Jay C. Beavers:
SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. CHI Extended Abstracts 2023: 397:1-397:8 - Daniel A. Epstein, Aisling Ann O'Kane, Andrew D. Miller:
Symposium: Workgroup on Interactive Systems in Healthcare (WISH). CHI Extended Abstracts 2023: 365:1-365:4 - Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis:
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. COLT 2023: 2211-2239 - Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang:
Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT 2023: 5260-5310 - Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis:
SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians. COLT 2023: 2319-2349 - Daniel Kane, Ilias Diakonikolas:
A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points. COLT 2023: 3014-3028
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