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Tor Lattimore

5 papers hereh-index 397.7k citations118 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • math.OC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

collaborators

5 papers

cs.LG2026

Refined Detection for Gumbel Watermarking

Tor Lattimore

We propose a simple detection mechanism for the Gumbel watermarking scheme proposed by Aaronson (2022). The new mechanism is proven to be near-optimal in a problem-dependent sense…

cs.LG2026

A Lyapunov Analysis of Softmax Policy Gradient for Stochastic Bandits

Tor Lattimore

We adapt the analysis of policy gradient for continuous time k-armed stochastic bandits by Lattimore (2026) to the standard discrete time setup. As in continuous time, we prove t…

stat.ML2026

A Diffusion Analysis of Policy Gradient for Stochastic Bandits

Tor Lattimore

We study a continuous-time diffusion approximation of policy gradient for k-armed stochastic bandits. We prove that with a learning rate I^⋅=O(I^”2/log(n)) the regret is $O(k…

math.OC2025

Bandit Convex Optimisation

Tor Lattimore

Bandit convex optimisation is a fundamental framework for studying zeroth-order convex optimisation. This book covers the many tools used for this problem, including cutting plane…

cs.AI2025

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

András György, Tor Lattimore, Nevena Lazić +1

Sound deductive reasoning -- the ability to derive new knowledge from existing facts and rules -- is an indisputably desirable aspect of general intelligence. Despite the major adv…

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