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48 results for Abigail Thompson

Earlier work with Robert Gompf and Abigail Thompson classified, via a natural slope indexed by the rationals, all two-component links which contain the square knot and from which (S1×S2)#(S1×S2)(S^1 \times S^2) \# (S^1 \times S^2) can be obtained by surgery. It was argued that a certain family LnL_n of such links probably contradic…

2012-08-06abs ↗pdf ↗

The paper sets lower bounds for a Kirby-Thompson invariant of 4-manifolds.

problem Determining the Kirby-Thompson invariant of specific 4-manifolds.
method Using trisections, the paper establishes lower bounds and calculates the invariant for specific examples.
result The paper calculates the Kirby-Thompson invariant of the spin of L(2,1)L(2,1) and shows the existence of 4-manifolds with arbitrarily large invariants.

Thompson sampling provides a solution to bandit problems in which new observations are allocated to arms with the posterior probability that an arm is optimal. While sometimes easy to implement and asymptotically optimal, Thompson sampling can be computationally demanding in large scale bandit problems, and its perform…

2014-10-15abs ↗pdf ↗

New Thompson sampling uses local uncertainty for better decision making.

problem Sequential decision making with exploration-exploitation dilemma.
method Proposes a new probabilistic modeling framework using local latent variable uncertainty for Thompson sampling, with variational inference and semi-implicit structure.
result Thompson sampling guided by local uncertainty achieves state-of-the-art performance with low computational complexity.

Improved Thompson Sampling reduces regret in contextual bandits and reinforcement learning.

problem Thompson Sampling's exploration is insufficient in some contexts.
method Developed Feel-Good Thompson Sampling to address exploration issues.
result Feel-Good Thompson Sampling reduces regret compared to standard Thompson Sampling.

New Thompson sampling algorithm for stochastic partial monitoring achieves logarithmic regret.

problem Limited feedback in sequential learning problems.
method Developed a novel Thompson-sampling-based algorithm to sample from the posterior distribution exactly.
result Achieved logarithmic regret bound of O(log T) for a linearized variant of the problem.

Thompson sampling, a Bayesian method for balancing exploration and exploitation in bandit problems, has theoretical guarantees and exhibits strong empirical performance in many domains. Traditional Thompson sampling, however, assumes perfect compliance, where an agent's chosen action is treated as the implemented actio…

2018-12-03abs ↗pdf ↗

Study of quasimorphisms and bounded cohomology in braided Thompson groups.

problem Investigate quasimorphisms and bounded cohomology in braided versions of Thompson groups.
method Analyze quasimorphisms and bounded cohomology of various braided Thompson groups.
result Found infinite-dimensional spaces of quasimorphisms in some braided Thompson groups and trivial second bounded cohomology in others.

Improved Thompson Sampling algorithms for bandits with tighter regret bounds.

problem Efficient and adaptive algorithms for stochastic bandits with bounded rewards.
method Proposed two parameterized Thompson Sampling-based algorithms: TS-MA-α and TS-TD-α.
result Achieved O(Kln^(α+1)(T)/Δ) regret bound, improving scalability and resource allocation.

We consider Thompson's groups from the perspective of mapping class groups of surfaces of infinite type. This point of view leads us to the braided Thompson groups, which are extensions of Thompson's groups by infinite (spherical) braid groups. We will outline the main features of these groups and some applications to …

2011-05-03abs ↗pdf ↗

Thompson Sampling, one of the oldest heuristics for solving multi-armed bandits, has recently been shown to demonstrate state-of-the-art performance. The empirical success has led to great interests in theoretical understanding of this heuristic. In this paper, we approach this problem in a way very different from exis…

2013-10-27abs ↗pdf ↗

Half grid diagrams prove every link can be represented by a special type of grid diagram.

problem Representing links using grid diagrams and related invariants.
method Defining half grid diagrams and constructing canonical pairs, proving equivalence to Jones' construction, relating to classical link invariants.
result Established a new method to relate the oriented Thompson index to classical link invariants and provided bounds for knot invariants.

We describe a procedure for constructing a generalized Thompson group out of a family of groups that is equipped with what we call a cloning system. The previously known Thompson groups F, V, Vbr and Fbr arise from this procedure using, respectively, the systems of trivial groups, symmetric groups, braid groups and pur…

2014-05-21abs ↗pdf ↗

This paper explores links from Thompson's group conjugacy classes.

problem Understanding the relationship between Thompson's group conjugacy classes and links.
method Using Jones's construction to link elements of FF to unoriented links.
result Found sequences of elements from distinct conjugacy classes yielding specific links.

This paper applies Thompson Sampling to asymmetric α\alpha-stable bandits for financial and wireless data.

problem Optimizing exploration-exploitation in multi-armed bandits with asymmetric α\alpha-stable distributions.
method Thompson Sampling applied to unknown asymmetric α\alpha-stable reward distributions.
result Demonstrates effectiveness of Thompson Sampling for asymmetric α\alpha-stable bandits.

Paper proves almost all stabilizer subgroups of Thompson's group satisfy Alexander's theorem.

problem Alexander's theorem for stabilizer subgroups of Thompson's group.
method Defined a method to construct knots and links from Thompson's group F and proved Alexander's theorem for stabilizer subgroups.
result Almost all stabilizer subgroups under the natural action on the unit interval satisfy Alexander's theorem.

The group of C1\mathcal C^1-diffeomorphisms of any sparse Cantor subset of a manifold is countable and discrete (possibly trivial). Thompson's groups come out of this construction when we consider central ternary Cantor subsets of an interval. Brin's higher dimensional generalizations nVnV of Thompson's group VV arise…

2014-11-18abs ↗pdf ↗

Model shows screening for infectious disease is hard but Thompson sampling works well.

problem Optimal screening policy for infectious diseases is hard to find.
method Stochastic-control model with Thompson sampling for optimal performance.
result Thompson sampling provides optimal performance guarantees in screening for infectious diseases.