Testing Partially-Identifiable Causal Queries using Ternary Tests
S. Bhadane, J.M. Mooij, P. Boeken, O. Zoeter. In Submission, 2025.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
S.Bhadane, J.M. Mooij, P. Boeken, O. Zoeter. Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Breaking Smoothness: The Struggles of Neural Compressors with Discontinuous Mappings
E. Ozyilkan, J. Ballé, S. Bhadane, A.B. Wagner, E. Erkip. Workshop on Machine Learning and Compression, NeurIPS 2024
Sample Complexity of Distinguishing Cause from Effect
J. Acharya, S. Bhadane, A. Bhattachryya, S. Kandasamy, Z. Sun. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 206:10487-10504, 2023
Do Neural Networks Compress Manifolds Optimally?
S. Bhadane, A.B. Wagner, J. Ballé. IEEE Information Theory Workshop (ITW), 2022
On One-bit Quantization
S.Bhadane, A.B. Wagner. IEEE International Symposium on Information Theory (ISIT), 2022
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
S. Bhadane, A.B. Wagner, J. Acharya. Proceedings of the 38th International Conference on Machine Learning PMLR 139:852-862, 2021.
Social Distancing Merely Stabilized COVID-19 in the United States
Aaron B. Wagner, Elaine L. Hill, Sean E. Ryan, Ziteng Sun, Grace Deng, Sourbh Bhadane, Victor Hernandez Martinez, Peter Wu, Dongmei Li, Ajay Anand, Jayadev Acharya, David S Matteson, Stat 9(1), 2020
Estimating Entropy of Distributions in Constant Space
J. Acharya, S. Bhadane, P. Indyk, Z. Sun. Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Unequal Locality and Recovery for Locally Recoverable Codes with Availability
S. Bhadane, A. Thangaraj, National Conference on Communications, 2017
Design and Implementation of a Robust Downlink Communication System for Nanosatellites
Jagdish M. Mevada, Joseph Samuel, Sourbh Bhadane, Akshay Gulati, R. David Koilpillai, International Conference on Space Science and Communication (IconSpace) 2015.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams