Zobrazeno 1 - 10
of 24 800
pro vyhledávání: '"Vikram, P."'
Autor:
Yin, George, Krishnamurthy, Vikram
We analyze the finite sample regret of a decreasing step size stochastic gradient algorithm. We assume correlated noise and use a perturbed Lyapunov function as a systematic approach for the analysis. Finally we analyze the escape time of the iterate
Externí odkaz:
http://arxiv.org/abs/2410.08449
Autor:
Krishnamurthy, Vikram, Rojas, Cristian
We consider word-of-mouth social learning involving $m$ Kalman filter agents that operate sequentially. The first Kalman filter receives the raw observations, while each subsequent Kalman filter receives a noisy measurement of the conditional mean of
Externí odkaz:
http://arxiv.org/abs/2410.08447
Autor:
Shah, Paul, Davis, Tamara M., Vincenzi, Maria, Armstrong, Patrick, Brout, Dillon, Camilleri, Ryan, Galbany, Lluis, Garcia-Bellido, Juan, Gill, Mandeep S. S., Lahav, Ofer, Lee, Jason, Lidman, Chris, Moeller, Anais, Sako, Masao, Sanchez, Bruno O., Sullivan, Mark, Whiteway, Lorne, Wiseman, Phillip, Allam, S., Aguena, M., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, da Costa, L. N., Pereira, M. E. S., Desai, S., Dodelson, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Myles, J., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Roodman, A., Samuroff, S., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Vikram, V.
Gravitational lensing magnification of Type Ia supernovae (SNe Ia) allows information to be obtained about the distribution of matter on small scales. In this paper, we derive limits on the fraction $\alpha$ of the total matter density in compact obj
Externí odkaz:
http://arxiv.org/abs/2410.07956
In recommendation systems, there has been a growth in the number of recommendable items (# of movies, music, products). When the set of recommendable items is large, training and evaluation of item recommendation models becomes computationally expens
Externí odkaz:
http://arxiv.org/abs/2410.06371
Autor:
Chundawat, Vikram S, Niroula, Pushkar, Dhungana, Prasanna, Schoepf, Stefan, Mandal, Murari, Brintrup, Alexandra
Federated learning (FL) has enabled collaborative model training across decentralized data sources or clients. While adding new participants to a shared model does not pose great technical hurdles, the removal of a participant and their related infor
Externí odkaz:
http://arxiv.org/abs/2410.04144
Autor:
Sharma, Kritti, Ravi, Vikram, Connor, Liam, Law, Casey, Ocker, Stella Koch, Sherman, Myles, Kosogorov, Nikita, Faber, Jakob, Hallinan, Gregg, Harnach, Charlie, Hellbourg, Greg, Hobbs, Rick, Hodge, David, Hodges, Mark, Lamb, James, Rasmussen, Paul, Somalwar, Jean, Weinreb, Sander, Woody, David, Leja, Joel, Anand, Shreya, Das, Kaustav Kashyap, Qin, Yu-Jing, Rose, Sam, Dong, Dillon Z., Miller, Jessie, Yao, Yuhan
Fast Radio Bursts (FRBs) are millisecond-duration events detected from beyond the Milky Way. FRB emission characteristics favor highly magnetized neutron stars, or magnetars, as the sources, as evidenced by FRB-like bursts from a galactic magnetar, a
Externí odkaz:
http://arxiv.org/abs/2409.16964
Autor:
Connor, Liam, Ravi, Vikram, Sharma, Kritti, Ocker, Stella Koch, Faber, Jakob, Hallinan, Gregg, Harnach, Charlie, Hellbourg, Greg, Hobbs, Rick, Hodge, David, Hodges, Mark, Kosogorov, Nikita, Lamb, James, Law, Casey, Rasmussen, Paul, Sherman, Myles, Somalwar, Jean, Weinreb, Sander, Woody, David
Approximately half of the Universe's dark matter resides in collapsed halos; significantly less than half of the baryonic matter (protons and neutrons) remains confined to halos. A small fraction of baryons are in stars and the interstellar medium wi
Externí odkaz:
http://arxiv.org/abs/2409.16952
Autor:
Snow, Luke, Krishnamurthy, Vikram
We derive a minimax distributionally robust inverse reinforcement learning (IRL) algorithm to reconstruct the utility functions of a multi-agent sensing system. Specifically, we construct utility estimators which minimize the worst-case prediction er
Externí odkaz:
http://arxiv.org/abs/2409.14542
Autor:
Vogt, S. M. L., Bocquet, S., Davies, C. T., Mohr, J. J., Schmidt, F., Ruan, C. -Z., Li, B., Hernández-Aguayo, C., Grandis, S., Bleem, L. E., Klein, M., Schrabback, T., Aguena, M., Brooks, D., Burke, D. L., Campos, A., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Hinton, S. R., Hollowood, D. L., Lee, S., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Paterno, M., Pieres, A., Malagón, A. A. Plazas, Reichardt, C. L., Romer, A. K., Samuroff, S., Sarkar, A., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., Weaverdyck, N., Weller, J.
We present constraints on the $f(R)$ gravity model using a sample of 1,005 galaxy clusters in the redshift range $0.25 - 1.78$ that have been selected through the thermal Sunyaev-Zel'dovich effect (tSZE) from South Pole Telescope (SPT) data and subje
Externí odkaz:
http://arxiv.org/abs/2409.13556
The advent of 3D printing has transformed the pharmaceutical industry, enabling precision drug manufacturing with controlled release profiles, dosing, and structural complexity. Additive manufacturing (AM) addresses the growing demand for personalize
Externí odkaz:
http://arxiv.org/abs/2409.11712