Shiva Prasad Kasiviswanathan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
28
Active years
2005–2025
Best venue rank
A*
Where they publish
- A*ICML9 papers
- AAISTATS4 papers
- AUAI2 papers
- A*AAAI2 papers
- A*ICDE2 papers
- ACIKM2 papers
- A*SODA2 papers
- BTCC2 papers
- BWADS2 papers
- A*ICLR1 paper
- A*COLT1 paper
- A*IJCAI1 paper
- A*CVPR1 paper
- A*PODS1 paper
- MulticonferenceICASSP1 paper
- A*INFOCOM1 paper
- BCPAIOR1 paper
- NationalICDCN1 paper
- BPADS1 paper
- A*STOC1 paper
- NationalHiPC1 paper
- A*FOCS1 paper
- A*KDD1 paper
- CAAIM1 paper
- BSPAA1 paper
- BSOFSEM1 paper
- BWAOA1 paper
- AALENEX1 paper
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | QA-Calibration of Language Model Confidence Scores. | Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2024 | AISTATS | Differentially Private Conditional Independence Testing. | Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2023 | ICML | Thompson Sampling with Diffusion Generative Prior. | Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blbaum |
| 2023 | ICML | Sequential Kernelized Independence Testing. | Aleksandr Podkopaev, Patrick Blbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2022 | AISTATS | Reconstructing Test Labels from Noisy Loss Functions. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2022 | ICML | On Measuring Causal Contributions via do-interventions. | Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blbaum, Elias Bareinboim |
| 2022 | UAI | Balancing utility and scalability in metric differential privacy. | Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier |
| 2021 | ICML | Label Inference Attacks from Log-loss Scores. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2021 | ICML | Federated Learning under Arbitrary Communication Patterns. | Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan |
| 2021 | UAI | SGD with low-dimensional gradients with applications to private and distributed learning. | Shiva Prasad Kasiviswanathan |
| 2020 | AISTATS | Contextual Online False Discovery Rate Control. | Shiyun Chen, Shiva Prasad Kasiviswanathan |
| 2020 | ICML | Efficient Intervention Design for Causal Discovery with Latents. | Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco |
| 2019 | AISTATS | Subsampled Renyi Differential Privacy and Analytical Moments Accountant. | Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan |
| 2018 | AAAI | Verifying Properties of Binarized Deep Neural Networks. | Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh |
| 2018 | COLT | Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression. | Shiva Prasad Kasiviswanathan, Mark Rudelson |
| 2018 | ICML | Semi-Supervised Learning on Data Streams via Temporal Label Propagation. | Tal Wagner, Sudipto Guha, Shiva Prasad Kasiviswanathan, Nina Mishra |
| 2018 | IJCAI | Network Approximation using Tensor Sketching. | Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin |
| 2017 | CVPR | Simple Black-Box Adversarial Attacks on Deep Neural Networks. | Nina Narodytska, Shiva Prasad Kasiviswanathan |
| 2017 | PODS | Private Incremental Regression. | Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin |
| 2016 | ICDE | Private spatial data aggregation in the local setting. | Rui Chen, Haoran Li, A. K. Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin |
| 2016 | ICDE | Streaming spectral clustering. | Shinjae Yoo, Hao Huang, Shiva Prasad Kasiviswanathan |
| 2016 | ICML | Efficient Private Empirical Risk Minimization for High-dimensional Learning. | Shiva Prasad Kasiviswanathan, Hongxia Jin |
| 2015 | AAAI | Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. | Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi |
| 2015 | CIKM | Unsupervised Feature Selection on Data Streams. | Hao Huang, Shinjae Yoo, Shiva Prasad Kasiviswanathan |
| 2013 | ICASSP | Fast online L1-dictionary learning algorithms for novel document detection. | Shiva Prasad Kasiviswanathan |
| 2013 | SODA | The Power of Linear Reconstruction Attacks. | Shiva Prasad Kasiviswanathan, Mark Rudelson, Adam D. Smith |
| 2013 | TCC | Analyzing Graphs with Node Differential Privacy. | Shiva Prasad Kasiviswanathan, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith |
| 2012 | ICML | Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization. | Haim Avron, Satyen Kale, Shiva Prasad Kasiviswanathan, Vikas Sindhwani |
| 2011 | CIKM | Emerging topic detection using dictionary learning. | Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani |
| 2011 | INFOCOM | Geography-based analysis of the Internet infrastructure. | Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Guanhua Yan |
| 2011 | SODA | The Rigidity Transition in Random Graphs. | Shiva Prasad Kasiviswanathan, Cristopher Moore, Louis Theran |
| 2010 | CPAIOR | Matrix Interdiction Problem. | Shiva Prasad Kasiviswanathan, Feng Pan |
| 2010 | ICDCN | Bandwidth Provisioning in Infrastructure-Based Wireless Networks Employing Directional Antennas. | Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan Vasudevan, Bhuvan Urgaonkar |
| 2010 | PADS | Explicit Spatial Scattering for Load Balancing in Conservatively Synchronized Parallel Discrete Event Simulations. | Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Philip Romero |
| 2010 | STOC | The price of privately releasing contingency tables and the spectra of random matrices with correlated rows. | Shiva Prasad Kasiviswanathan, Mark Rudelson, Adam D. Smith, Jonathan R. Ullman |
| 2010 | TCC | Bounds on the Sample Complexity for Private Learning and Private Data Release. | Amos Beimel, Shiva Prasad Kasiviswanathan, Kobbi Nissim |
| 2009 | HiPC | Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator. | Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Emanuele Galli, Susan M. Mniszewski, Philip Romero |
| 2008 | FOCS | What Can We Learn Privately? | Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith |
| 2008 | KDD | Composition attacks and auxiliary information in data privacy. | Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Adam D. Smith |
| 2007 | AAIM | Algorithms for Counting 2-SatSolutions and Colorings with Applications. | Martin Frer, Shiva Prasad Kasiviswanathan |
| 2007 | SPAA | Packing to angles and sectors. | Piotr Berman, Jieun K. Jeong, Shiva Prasad Kasiviswanathan, Bhuvan Urgaonkar |
| 2007 | SOFSEM | Exact Max 2-Sat: Easier and Faster. | Martin Frer, Shiva Prasad Kasiviswanathan |
| 2007 | WADS | Faster Approximation of Distances in Graphs. | Piotr Berman, Shiva Prasad Kasiviswanathan |
| 2007 | WADS | Spanners for Geometric Intersection Graphs. | Martin Frer, Shiva Prasad Kasiviswanathan |
| 2006 | WAOA | Approximate Distance Queries in Disk Graphs. | Martin Frer, Shiva Prasad Kasiviswanathan |
| 2005 | ALENEX | Approximately Counting Perfect Matchings in General Graphs. | Martin Frer, Shiva Prasad Kasiviswanathan |