Results 41 to 50 of about 4,126,170 (169)

Evaluating Early‐Stage Oncology Clinical Trial Designs in the Era of Project Optimus: A Scoping Review

Pharmaceutical Statistics, Volume 25, Issue 6, November/December 2026.
ABSTRACT In 2021, the FDA initiated Project Optimus to reform dose optimization and selection in early‐phase oncology, highlighting that doses and schedules of new therapies are often inadequately characterized and that traditional dose‐finding approaches should be revised.
Marie‐Karelle Riviere, Anaïs Andrillon, Pavel Mozgunov, Emma Gerard, Moreno Ursino   +4 more
wiley   +1 more source

Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi

IEEE Transactions on Machine Learning in Communications and Networking
The exponential increase in the demand for high-performance services such as streaming video and gaming by wireless devices has posed several challenges for Wireless Local Area Networks (WLANs).
Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci   +4 more
doaj   +1 more source

Adapting multi-armed bandits policies to contextual bandits scenarios

CoRR, 2018
This work explores adaptations of successful multi-armed bandits policies to the online contextual bandits scenario with binary rewards using binary classification algorithms such as logistic regression as black-box oracles. Some of these adaptations are achieved through bootstrapping or approximate bootstrapping, while others rely on other forms of ...
openaire   +3 more sources

Fair Contextual Multi-Armed Bandits: Theory and Experiments

CoRR, 2019
When an AI system interacts with multiple users, it frequently needs to make allocation decisions. For instance, a virtual agent decides whom to pay attention to in a group setting, or a factory robot selects a worker to deliver a part. Demonstrating fairness in decision making is essential for such systems to be broadly accepted.
Yifang Chen 0004, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis   +5 more
openaire   +3 more sources

Deepening the real options debate: Real options as dynamic optimization

Strategic Management Journal, Volume 47, Issue 11, Page 2823-2870, November 2026.
Abstract Research Summary Is real option theory useful for management research? This topic was hotly debated two decades ago. Real options were said to be inapplicable to management research and to lack conceptual distinctiveness. Whereas responses to the claim about the non‐distinctiveness of real options were disparate, the concern about the theory's
Arkadiy V. Sakhartov, Joseph T. Mahoney, Jeffrey J. Reuer   +2 more
wiley   +1 more source

Toward Specialized Wireless Networks Using an ML-Driven Radio Interface

IEEE Access
Future wireless networks will need to support diverse applications (such as extended reality), scenarios (such as fully automated industries), and technological advances (such as terahertz communications).
Kamil Szczech, Maksymilian Wojnar, Katarzyna Kosek-Szott, Krzysztof Rusek, Szymon Szott, Dileepa Marasinghe, Nandana Rajatheva, Richard Combes, Francesc Wilhelmi, Anders Jonsson, Boris Bellalta   +10 more
doaj   +1 more source

A conversation with James V. Zidek

Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.
Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
wiley   +1 more source

Pragmatic Two‐Stage Design for Clinical Trials With Treatment Selection

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Clinical trials are inherently complex and become more challenging when selecting one treatment from many while also evaluating the efficacy. In this paper, we develop a pragmatic design that balances sample efficiency and practicality through a two‐stage sequential approach.
Paul Horton, Yajun Mei
wiley   +1 more source

Collective Decision-Making as a Contextual Multi-armed Bandit Problem

, 2020
Collective decision-making (CDM) processes - wherein the knowledge of a group of individuals with a common goal must be combined to make optimal decisions - can be formalized within the framework of the deciding with expert advice setting. Traditional approaches to tackle this problem focus on finding appropriate weights for the individuals in the ...
Abels, Axel, Lenaerts, Tom, Trianni, Vito, Nowé, Ann   +7 more
openaire   +6 more sources

“Caught in a Trap”: Everyday Peace and the Dilemma of Representation in Rio de Janeiro

City &Society, Volume 38, Issue 2, August 2026.
ABSTRACT Urban security interventions often seek legitimacy by changing how places associated with violence are publicly represented. Less attention has been paid to how grassroots organizations navigate these representational pressures as they pursue everyday peace.
Henry Staples, Sarah Vogelsanger
wiley   +1 more source