activity
20192026
most citedMajority-of-Three: The Simplest Optimal Learner?

1 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DS2026

Optimal Online Discrepancy Minimization in Linear Time

Ishaq Aden-Ali

We provide an online algorithm with the following guarantee: for any fixed sequence of vectors with , the algorithm assigns each ar…

cs.LG2026

Subliminal Effects in Your Data: A General Mechanism via Log-Linearity

Ishaq Aden-Ali, Noah Golowich, Allen Liu +3

Training modern large language models (LLMs) has become a veritable smorgasbord of algorithms and datasets designed to elicit particular behaviors, making it critical to develop te…

cs.DS2025

Quantization for Vector Search under Streaming Updates

Ishaq Aden-Ali, Hakan Ferhatosmanoglu, Alexander Greaves-Tunnell +2

Large-scale vector databases for approximate nearest neighbor (ANN) search typically store a quantized dataset in main memory for fast access, and full precision data on remote dis…

math.PR2025

On the Injective Norm of Sums of Random Tensors and the Moments of Gaussian Chaoses

Ishaq Aden-Ali

We prove an upper bound on the expected injective norm of sums of subgaussian random tensors. Our proof is simple and does not rely on any explicit geometric or chaining a…

stat.ML20241 cited

Majority-of-Three: The Simplest Optimal Learner?

Ishaq Aden-Ali, Mikael Møller Høgsgaard, Kasper Green Larsen +1

Developing an optimal PAC learning algorithm in the realizable setting, where empirical risk minimization (ERM) is suboptimal, was a major open problem in learning theory for decad…

cs.DS20221 cited

On the amortized complexity of approximate counting

Ishaq Aden-Ali, Yanjun Han, Jelani Nelson +1

Naively storing a counter up to value would require bits of memory. Nelson and Yu [NY22], following work of [Morris78], showed that if the query answers need only b…