Amartya Sanyal
22 papers · 2018–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Amartya Sanyal?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Fanny Yang, Yaxi Hu, Daniil Dmitriev
8 papers
· 2022–2025
· AISTATS, NeurIPS, ICLR
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Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
AISTATS 2025
Differentially Private Steering for Large Language Model Alignment
ICLR 2025
Certified private data release for sparse Lipschitz functions
AISTATS 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective
COLT 2024
Provable Privacy with Non-Private Pre-Processing
ICML 2024
Robust Mixture Learning when Outliers Overwhelm Small Groups
NeurIPS 2024
Can semi-supervised learning use all the data effectively? A lower bound perspective
NeurIPS 2023
How unfair is private learning?
UAI 2022
5 papers whose co-authors appear nowhere else under this name
Protecting against simultaneous data poisoning attacks
ICLR 2025
Provable unlearning in topic modeling and downstream tasks
ICLR 2025
The Role of Learning Algorithms in Collective Action
ICML 2024
A law of adversarial risk, interpolation, and label noise
ICLR 2023
Open Problem: Do you pay for Privacy in Online learning?
COLT 2022