Zobrazeno 1 - 10
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pro vyhledávání: '"Shankar, Shiv"'
A/B tests are often required to be conducted on subjects that might have social connections. For e.g., experiments on social media, or medical and social interventions to control the spread of an epidemic. In such settings, the SUTVA assumption for r
Externí odkaz:
http://arxiv.org/abs/2404.10547
Indirect experiments provide a valuable framework for estimating treatment effects in situations where conducting randomized control trials (RCTs) is impractical or unethical. Unlike RCTs, indirect experiments estimate treatment effects by leveraging
Externí odkaz:
http://arxiv.org/abs/2312.02438
We propose a first-order method for convex optimization, where instead of being restricted to the gradient from a single parameter, gradients from multiple parameters can be used during each step of gradient descent. This setup is particularly useful
Externí odkaz:
http://arxiv.org/abs/2302.03161
Autor:
Chandak, Yash, Shankar, Shiv, Bastian, Nathaniel D., da Silva, Bruno Castro, Brunskil, Emma, Thomas, Philip S.
Methods for sequential decision-making are often built upon a foundational assumption that the underlying decision process is stationary. This limits the application of such methods because real-world problems are often subject to changes due to exte
Externí odkaz:
http://arxiv.org/abs/2301.10330
Autor:
Shankar, Shiv, Piratla, Vihari
Most deep learning research has focused on developing new model and training procedures. On the other hand the training objective has usually been restricted to combinations of standard losses. When the objective aligns well with the evaluation metri
Externí odkaz:
http://arxiv.org/abs/2211.11649
Autor:
Shankar, Shiv, Sinha, Ritwik, Mitra, Saayan, Swaminathan, Viswanathan, Mahadevan, Sridhar, Sinha, Moumita
Consider two brands that want to jointly test alternate web experiences for their customers with an A/B test. Such collaborative tests are today enabled using \textit{third-party cookies}, where each brand has information on the identity of visitors
Externí odkaz:
http://arxiv.org/abs/2211.03758
Integration of multimodal information from various sources has been shown to boost the performance of machine learning models and thus has received increased attention in recent years. Often such models use deep modality-specific networks to obtain u
Externí odkaz:
http://arxiv.org/abs/2209.00302
Publikováno v:
In Microbial Pathogenesis July 2024 192
Autor:
Sassi, Ghada, Shankar, Shiv, Jaiswal, Lily, Salmieri, Stephane, Karboune, Salwa, Lacroix, Monique
Publikováno v:
In International Dairy Journal July 2024 154
Autor:
Shankar, Shiv
Information integration from different modalities is an active area of research. Human beings and, in general, biological neural systems are quite adept at using a multitude of signals from different sensory perceptive fields to interact with the env
Externí odkaz:
http://arxiv.org/abs/2110.00385