Matan Tsipory

@itayevron @ranlevinstein [6/6] Are Greedy Task Orderings Better Than Random in Continual Linear Regression? With my collaborators: *Tsipory, *Levinstein, *Evron, *Kong, Needell and Soudry. #NeurIPS #NeurIPS2025 Full paper: openreview.net/forum?id=8JdPq… Poster info: nips.cc/virtual/2025/l…

@itayevron @ranlevinstein [5/6] However, these failure modes disappear when we allow task repetition or use greedy-then-random orderings. In conclusion, we now understand that dissimilarity-guided orderings typically converge faster, and that a bit of randomness can prevent pathological failures.

[1/6] Tomorrow (Thursday) at #NeurIPS: Are Greedy Task Orderings Better Than Random in Continual Linear Regression? Q: Do models learn better when consecutive tasks are similar or dissimilar? A: Our analysis suggests that they should be dissimilar! openreview.net/forum?id=8JdPq…

[1/5] Next week at #NeurIPS *Optimal Rates in Continual Linear Regression via Increasing Regularization* In the brain, ageing naturally reduces synaptic plasticity. Our theory suggests continual learning models may benefit from a similar mechanism! openreview.net/forum?id=lDh78…