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JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

Related publications (43)

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We introduce contextual stochastic bilevel optimization (CSBO) -- a stochastic bilevel optimization framework with the lower-level problem minimizing an expectation conditioned on some contextual information and the upper-level decision variable. This fram ...

2023

Relatively robust decisions

Thomas Alois Weber

It is natural for humans to judge the outcome of a decision under uncertainty as a percentage of an ex-post optimal performance. We propose a robust decision-making framework based on a relative performance index. It is shown that if the decision maker's p ...

SPRINGER2022

Just-in-time performance without warm-up

Denys Shabalin

Scala has been developed as a language that deeply integrates with the Java ecosystem. It offers seamless interoperability with existing Java libraries. Since the Scala compiler targets Java bytecode, Scala programs have access to high-performance runtimes ...

EPFL2020

Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

Dimitri Nestor Alice Van De Ville, Olaf Blanke, José del Rocio Millán Ruiz, Nathan Quentin Faivre, Inaki Asier Iturrate Gil, Michael Eric Anthony Pereira, Stéphanie Martin, Arnaud Marc Desvachez, Marco Wirthlin

The human capacity to compute the likelihood that a decision is correct—known as metacognition—has proven difficult to study in isolation as it usually cooccurs with decision making. Here, we isolated postdecisional from decisional contributions to metacog ...

2020

Multi-armed Bandits in Action

Farnood Salehi

Making decisions is part and parcel of being human. Among a set of actions, we want to choose the one that has the highest reward. But the uncertainty of the outcome prevents us from always making the right decision. Making decisions under uncertainty can ...

EPFL2020

Timely and cost-efficient data exploration through adaptive tuning

Matthaios Alexandros Olma

Modern applications accumulate data at an exponentially increasing rate and traditional database systems struggle to keep up. Decision support systems used in industry, rely heavily on data analysis, and require real-time responses irrespective of data siz ...

EPFL2019

As India has developed into one of the countries of origin with the largest number of skilled personnel and international students, it has been increasingly considered as a priority country in public higher-education and labour-market strategies. Its growi ...

Routledge2019

Influence of façade details on early design decisions regarding daylight performance of neighborhoods

Marilyne Andersen, Luisa Pastore, Minu Agarwal

Neighborhood form and building facade design are key drivers of indoor daylight performance. Architectural design at the neighborhood scale starts with massing scheme proposals and other design specifications including façade design are typically enriched ...

2018

Interflow: interprocedural flow-sensitive type inference and method duplication

Martin Odersky, Denys Shabalin

Scala heavily relies on a number of object-oriented abstractions to support its feature-rich collections library. There are known techniques that optimize those abstractions away in just-in-time (JIT) compilers, but applying them in the ahead-of-time (AOT) ...

2018

A two-stage model of decision making

Michael Herzog, Adrien Christophe Doerig, Leila Drissi Daoudi - Kleinbauer

The drift diffusion model (Ratcliff, 1978) is widely used to model binary decision-making. In this model, evidence for the two alternatives is integrated over time until it hits a decision boundary leading to a reaction. The drift diffusion model fits many ...

2017