Zobrazeno 1 - 10
of 6 969
pro vyhledávání: '"Smith, Ian A"'
Autor:
Smith, Ian
Recovering high-level type information in binaries is a key task in reverse engineering and binary analysis. Binaries contain very little explicit type information. The structure of binary code is incredibly flexible allowing for ad-hoc subtyping and
Externí odkaz:
http://arxiv.org/abs/2409.01841
We revisit the question of whether the strong law of large numbers (SLLN) holds uniformly in a rich family of distributions, culminating in a distribution-uniform generalization of the Marcinkiewicz-Zygmund SLLN. These results can be viewed as extens
Externí odkaz:
http://arxiv.org/abs/2402.00713
Are asymptotic confidence sequences and anytime $p$-values uniformly valid for a nontrivial class of distributions $\mathcal{P}$? We give a positive answer to this question by deriving distribution-uniform anytime-valid inference procedures. Historic
Externí odkaz:
http://arxiv.org/abs/2311.03343
Autor:
Smith, Ian, Ortmann, Janosch, Abbas-Aghababazadeh, Farnoosh, Smirnov, Petr, Haibe-Kains, Benjamin
Cosine similarity is an established similarity metric for computing associations on vectors, and it is commonly used to identify related samples from biological perturbational data. The distribution of cosine similarity changes with the covariance of
Externí odkaz:
http://arxiv.org/abs/2310.13994
Autor:
Smith, Ian Andrew
Urban ecosystems play a central role in global and regional climates by disrupting the surface energy balance and modifying nutrient and water cycling. Cities recognize the need for urban design strategies that address urbanization-induced climate st
Externí odkaz:
https://hdl.handle.net/2144/49148
Autor:
Maharaj, Akash V., Sinha, Ritwik, Arbour, David, Waudby-Smith, Ian, Liu, Simon Z., Sinha, Moumita, Addanki, Raghavendra, Ramdas, Aaditya, Garg, Manas, Swaminathan, Viswanathan
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion)
A/B tests are the gold standard for evaluating digital experiences on the web. However, traditional "fixed-horizon" statistical methods are often incompatible with the needs of modern industry practitioners as they do not permit continuous monitoring
Externí odkaz:
http://arxiv.org/abs/2302.10108
Autor:
Weadock, Nicholas, Sterling, Tyler, Vigil, Julian, Gold-Parker, Aryeh, Smith, Ian, Ahammed, Ballal, Krogstad, Matthew, Ye, Feng, Voneshen, David, Gehring, Peter, Steinrück, Hans-Georg, Ertekin, Elif, Karunadasa, Hemamala, Reznik, Dmitry, Toney, Michael
Hybrid lead halide perovskites (LHPs) are a class of semiconductor with novel properties that are distinctively governed by structural fluctuations. Diffraction experiments sensitive to average, long-range order reveal a cubic structure in the device
Externí odkaz:
http://arxiv.org/abs/2302.01559
An accurate force calculation with the Poisson-Boltzmann equation is challenging, as it requires the electric field on the molecular surface. Here, we present a calculation of the electric field on the solute-solvent interface that is exact for piece
Externí odkaz:
http://arxiv.org/abs/2301.05019
Contextual bandit algorithms are ubiquitous tools for active sequential experimentation in healthcare and the tech industry. They involve online learning algorithms that adaptively learn policies over time to map observed contexts $X_t$ to actions $A
Externí odkaz:
http://arxiv.org/abs/2210.10768