papers

Publications (10)

math.GN2020

Shore and Non-Block Points in Hausdorff Continua

Daron Anderson

We study the shore and non-block points of non-metric continua. We reduce the problem of showing a continuum to have non-block points to that of showing an indecomposable continuum…

cs.LG2026

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cs.LG2022

Lazy Lagrangians with Predictions for Online Learning

Daron Anderson, George Iosifidis, Douglas J. Leith

We consider the general problem of online convex optimization with time-varying additive constraints in the presence of predictions for the next cost and constraint functions. A no…

math.ST2020

Optimality of the Subgradient Algorithm in the Stochastic Setting

Daron Anderson, Douglas Leith

We show that the Subgradient algorithm is universal for online learning on the simplex in the sense that it simultaneously achieves regret for adversarial costs and $O…

cs.LG2019

Learning The Best Expert Efficiently

Daron Anderson, Douglas J. Leith

We consider online learning problems where the aim is to achieve regret which is efficient in the sense that it is the same order as the lowest regret amongst K experts. This is a…

cs.LG2022

Lazy Online Gradient Descent is Universal on Polytopes

Daron Anderson, Douglas Leith

We prove the familiar Lazy Online Gradient Descent algorithm is universal on polytope domains. That means it gets pseudo-regret against i.i.d opponents, while simultaneously…