Sourbh Bhadane

13 papers A* 2A 2B 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses.
UAI
Sourbh Bhadane, Joris M. Mooij, Philip A. Boeken, Onno Zoeter
2025 J jnl
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses.
CoRR
Sourbh Bhadane, Joris M. Mooij, Philip A. Boeken, Onno Zoeter
2023 A conf
Sample Complexity of Distinguishing Cause from Effect.
AISTATS
Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun
2022 B conf
Do Neural Networks Compress Manifolds Optimally?
ITW
Sourbh Bhadane, Aaron B. Wagner, Johannes Ballé
2022 J jnl
Do Neural Networks Compress Manifolds Optimally?
CoRR
Sourbh Bhadane, Aaron B. Wagner, Johannes Ballé
2022 B conf
On One-Bit Quantization.
ISIT
Sourbh Bhadane, Aaron B. Wagner
2022 J jnl
On One-Bit Quantization.
CoRR
Sourbh Bhadane, Aaron B. Wagner
2021 A* conf
Principal Bit Analysis: Autoencoding with Schur-Concave Loss.
ICML
Sourbh Bhadane, Aaron B. Wagner, Jayadev Acharya
2021 J jnl
Principal Bit Analysis: Autoencoding with Schur-Concave Loss.
CoRR
Sourbh Bhadane, Aaron B. Wagner, Jayadev Acharya
2019 A* conf
Estimating Entropy of Distributions in Constant Space.
NeurIPS
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
2019 J jnl
Estimating Entropy of Distributions in Constant Space.
CoRR
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
2017 J jnl
Irregular Recovery and Unequal Locality for Locally Recoverable Codes with Availability.
CoRR
Sourbh Bhadane, Andrew Thangaraj
2017 — conf
Unequal locality and recovery for Locally Recoverable Codes with availability.
NCC
Sourbh Bhadane, Andrew Thangaraj