Zobrazeno 1 - 10
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pro vyhledávání: '"Chan, T. P."'
We consider game-theoretically secure distributed protocols for coalition games that approximate the Shapley value with small multiplicative error. Since all known existing approximation algorithms for the Shapley value are randomized, it is a challe
Externí odkaz:
http://arxiv.org/abs/2412.19192
Autor:
Chan, T-H. Hubert, Xue, Quan
We present a comprehensive framework that unifies several research areas within the context of vertex-weighted bipartite graphs, providing deeper insights and improved solutions. The fundamental solution concept for each problem involves refinement,
Externí odkaz:
http://arxiv.org/abs/2406.17964
Blockchains have popularized automated market makers (AMMs). An AMM exchange is an application running on a blockchain which maintains a pool of crypto-assets and automatically trades assets with users governed by some pricing function that prices th
Externí odkaz:
http://arxiv.org/abs/2402.09357
We examine a private ADMM variant for (strongly) convex objectives which is a primal-dual iterative method. Each iteration has a user with a private function used to update the primal variable, masked by Gaussian noise for local privacy, without dire
Externí odkaz:
http://arxiv.org/abs/2312.08685
We study game-theoretically secure protocols for the classical ordinal assignment problem (aka matching with one-sided preference), in which each player has a total preference order on items. To achieve the fairness notion of equal treatment of equal
Externí odkaz:
http://arxiv.org/abs/2304.13338
Autor:
Ma, Pui-Wai, Chan, T. -H. Hubert
We devise a new type of feedforward neural network. It is equivariant with respect to the unitary group $U(n)$. The input and output can be vectors in $\mathbb{C}^n$ with arbitrary dimension $n$. No convolution layer is required in our implementation
Externí odkaz:
http://arxiv.org/abs/2208.12146
Autor:
Wetzel, Andrew, Hayward, Christopher C., Sanderson, Robyn E., Ma, Xiangcheng, Angles-Alcazar, Daniel, Feldmann, Robert, Chan, T. K, El-Badry, Kareem, Wheeler, Coral, Garrison-Kimmel, Shea, Nikakhtar, Farnik, Panithanpaisal, Nondh, Arora, Arpit, Gurvich, Alexander B., Samuel, Jenna, Sameie, Omid, Pandya, Viraj, Hafen, Zachary, Hummels, Cameron, Loebman, Sarah, Boylan-Kolchin, Michael, Bullock, James S., Faucher-Giguere, Claude-Andre, Keres, Dusan, Quataert, Eliot, Hopkins, Philip F.
We describe a public data release of the FIRE-2 cosmological zoom-in simulations of galaxy formation, available at http://flathub.flatironinstitute.org/fire, from the Feedback In Realistic Environments (FIRE) project. FIRE-2 simulations achieve parse
Externí odkaz:
http://arxiv.org/abs/2202.06969
Autor:
Hafen, Zachary, Stern, Jonathan, Bullock, James, Gurvich, Alex B., Yu, Sijie, Faucher-Giguere, Claude-Andre, Fielding, Drummond B., Angles-Alcazar, Daniel, Quataert, Eliot, Wetzel, Andrew, Starkenburg, Tjitske, Boylan-Kolchin, Michael, Moreno, Jorge, Feldmann, Robert, El-Badry, Kareem, Chan, T. K., Trapp, Cameron, Keres, Dusan, Hopkins, Philip F.
We use FIRE simulations to study disk formation in z~0, Milky Way-mass galaxies, and conclude that a key ingredient for the formation of thin stellar disks is the ability for accreting gas to develop an aligned angular momentum distribution via inter
Externí odkaz:
http://arxiv.org/abs/2201.07235
Vector mean estimation is a central primitive in federated analytics. In vector mean estimation, each user $i \in [n]$ holds a real-valued vector $v_i\in [-1, 1]^d$, and a server wants to estimate the mean of all $n$ vectors. Not only so, we would li
Externí odkaz:
http://arxiv.org/abs/2112.03449
Autor:
Chan, T. K., Keres, Dusan, Gurvich, Alexander B., Hopkins, Philip, Trapp, Cameron, Ji, Suoqing, Faucher-Giguere, Claude-Andre
Cosmic rays (CRs) are an important component in the interstellar medium (ISM), but their effect on the dynamics of the disk-halo interface (< 10 kpc from the disk) is still unclear. We study the influence of CRs on the gas above the disk with high-re
Externí odkaz:
http://arxiv.org/abs/2110.06231