Elvis DOHMATOB
22 papers · 2016–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Elvis DOHMATOB?
5 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 Mike Gartrell, Insu Han, Victor-Emmanuel Brunel
4 papers
· 2019–2022
· ICLR, ICML, NeurIPS
Hide ▲
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
ICLR 2022
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
ICLR 2021
Learning Nonsymmetric Determinantal Point Processes
NeurIPS 2019
6 papers whose co-authors appear nowhere else under this name
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
ICML 2024
Scaling Laws for Associative Memories
ICLR 2024
Contextual bandits with concave rewards, and an application to fair ranking
ICLR 2023
Origins of Low-Dimensional Adversarial Perturbations
AISTATS 2023
Generalized No Free Lunch Theorem for Adversarial Robustness
ICML 2019
Learning brain regions via large-scale online structured sparse dictionary learning
NeurIPS 2016