Publications related to Rule of inference

Tree-AMP: Compositional Inference with Tree Approximate Message Passing

Florent Gérard Krzakala, Lenka Zdeborová

We introduce Tree-AMP, standing for Tree Approximate Message Passing, a python package for compositional inference in high-dimensional tree-structured models. The package provides a unifying framework to study several approximate message passing algorithms ...

2023

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Robert West, Maxime Jean Julien Peyrard, Valentin Hartmann, Léo Nicolas René Meynent

A large body of work shows that machine learning (ML) models can leak sensitive or confidential information about their training data. Recently, leakage due to distribution inference (or property inference) attacks is gaining attention. In this attack, the ...

IEEE COMPUTER SOC2023

A note on universal inference

Anthony Christopher Davison, Timmy Rong Tian Tse

Universal inference enables the construction of confidence intervals and tests without regularity conditions by splitting the data into two parts and appealing to Markov's inequality. Previous investigations have shown that the cost of this generality is a ...

WILEY2022

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile health apps ...

ASSOC COMPUTING MACHINERY2022

Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes

Elisa Oricchio, Daniele Tavernari, Stephanie Jocelyne Sungalee, Giovanni Ciriello, Marco Mina

Chromatin compartmentalization reflects biological activity. However, inference of chromatin sub-compartments and compartment domains from chromosome conformation capture (Hi-C) experiments is limited by data resolution. As a result, these have been charac ...

NATURE RESEARCH2021

Protecting Mobile Food Diaries from Getting too Personal

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Smartphone applications that use passive sensing to support human health and well-being primarily rely on: (a) generating low-dimensional representations from high-dimensional data streams; (b) making inferences regarding user behavior; and (c) using those ...

Association for Computing Machinery2020

Structural Rewriting in XOR-Majority Graphs

Giovanni De Micheli, Mathias Soeken, Zhufei Chu

In this paper, we present a structural rewriting method for a recently proposed XOR-Majority graph (XMG), which has exclusive-OR (XOR), majority-of-three (MAJ), and inverters as primitives. XMGs are an extension of Majority-Inverter Graphs (MIGs). Previous ...

ASSOC COMPUTING MACHINERY2019

Statistical Aspects of Wasserstein Distances

Victor Panaretos, Yoav Zemel

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover th ...

ANNUAL REVIEWS2019

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Rule of inference

Tree-AMP: Compositional Inference with Tree Approximate Message Passing

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

A note on universal inference

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes

Protecting Mobile Food Diaries from Getting too Personal

Structural Rewriting in XOR-Majority Graphs

Verified Functional Programming

Statistical Aspects of Wasserstein Distances

Semiparametric Bayesian Risk Estimation for Complex Extremes

Graph Chatbot

Chat with Graph Search

Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Protecting Mobile Food Diaries from Getting too Personal

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

A note on universal inference

Verified Functional Programming

Structural Rewriting in XOR-Majority Graphs

Tree-AMP: Compositional Inference with Tree Approximate Message Passing

Semiparametric Bayesian Risk Estimation for Complex Extremes

Statistical Aspects of Wasserstein Distances