Zobrazeno 1 - 10
of 3 779
pro vyhledávání: '"Bernstein, A S"'
Autor:
Hardy, Amelia, Reuel, Anka, Meimandi, Kiana Jafari, Soder, Lisa, Griffith, Allie, Asmar, Dylan M., Koyejo, Sanmi, Bernstein, Michael S., Kochenderfer, Mykel J.
Public AI benchmark results are widely broadcast by model developers as indicators of model quality within a growing and competitive market. However, these advertised scores do not necessarily reflect the traits of interest to those who will ultimate
Externí odkaz:
http://arxiv.org/abs/2412.05520
Autor:
Park, Joon Sung, Zou, Carolyn Q., Shaw, Aaron, Hill, Benjamin Mako, Cai, Carrie, Morris, Meredith Ringel, Willer, Robb, Liang, Percy, Bernstein, Michael S.
The promise of human behavioral simulation--general-purpose computational agents that replicate human behavior across domains--could enable broad applications in policymaking and social science. We present a novel agent architecture that simulates th
Externí odkaz:
http://arxiv.org/abs/2411.10109
In spite of efforts to increase participation, many online groups struggle to survive past the initial days, as members leave and activity atrophies. We argue that a main assumption of online group design -- that groups ask nothing of their members b
Externí odkaz:
http://arxiv.org/abs/2410.23267
Target tracking of surrounding vehicles is essential for collision avoidance in autonomous vehicles. Our approach to target tracking is based on causal numerical differentiation on relative position data to estimate relative velocity and acceleration
Externí odkaz:
http://arxiv.org/abs/2407.19025
Autor:
Piccardi, Tiziano, Saveski, Martin, Jia, Chenyan, Hancock, Jeffrey, Tsai, Jeanne L., Bernstein, Michael S.
Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasingly challenging. This article offers practical recommendations to rese
Externí odkaz:
http://arxiv.org/abs/2406.19571
Data analysts have long sought to turn unstructured text data into meaningful concepts. Though common, topic modeling and clustering focus on lower-level keywords and require significant interpretative work. We introduce concept induction, a computat
Externí odkaz:
http://arxiv.org/abs/2404.12259
Autor:
Lai, Brian, Bernstein, Dennis S.
Discrete-time input/output models, also called infinite impulse response (IIR) models or autoregressive moving average (ARMA) models, are useful for online identification as they can be efficiently updated using recursive least squares (RLS) as new d
Externí odkaz:
http://arxiv.org/abs/2404.10850
Autor:
Lai, Brian, Bernstein, Dennis S.
This paper presents subspace of information forgetting recursive least squares (SIFt-RLS), a directional forgetting algorithm which, at each step, forgets only in row space of the regressor matrix, or the \textit{information subspace}. As a result, S
Externí odkaz:
http://arxiv.org/abs/2404.10844
Autor:
Lai, Brian, Bernstein, Dennis S.
Recursive least squares (RLS) is derived as the recursive minimizer of the least-squares cost function. Moreover, it is well known that RLS is a special case of the Kalman filter. This work presents the Kalman filter least squares (KFLS) cost functio
Externí odkaz:
http://arxiv.org/abs/2404.10914
Autor:
Lai, Brian, Bernstein, Dennis S.
Traditionally, batch least squares (BLS) and recursive least squares (RLS) are used for identification of a vector of parameters that form a linear model. In some situations, however, it is of interest to identify parameters in a matrix structure. In
Externí odkaz:
http://arxiv.org/abs/2404.10911