
a simple and effective framework for pairwise deep metric learning
Deep metric learning (DML) has received much attention in deep learning ...
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MultiMarginal Optimal Transport Defines a Generalized Metric
We prove that the multimarginal optimal transport (MMOT) problem define...
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Tuning OverRelaxed ADMM
The framework of Integral Quadratic Constraints (IQC) reduces the comput...
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Markov Chain Lifting and Distributed ADMM
The time to converge to the steady state of a finite Markov chain can be...
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Generative Adversarial Active Learning
We propose a new active learning by query synthesis approach using Gener...
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Proximal operators for multiagent path planning
We address the problem of planning collisionfree paths for multiple age...
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An Explicit Rate Bound for the OverRelaxed ADMM
The framework of Integral Quadratic Constraints of Lessard et al. (2014)...
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The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning
We describe a new instancebased learning algorithm called the Boundary ...
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Bayesian Inference of Recursive Sequences of Group Activities from Tracks
We present a probabilistic generative model for inferring a description ...
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A metric for sets of trajectories that is practical and mathematically consistent
Metrics on the space of sets of trajectories are important for scientist...
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Fault Tolerant Boolean Satisfiability
A deltamodel is a satisfying assignment of a Boolean formula for which ...
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Building an Evaluation Scale using Item Response Theory
Evaluation of NLP methods requires testing against a previously vetted g...
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When Cars Meet Distributed Computing: Data Storage as an Example
As cars are ubiquitous they could play a major role in a next generation...
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Testing finegrained parallelism for the ADMM on a factorgraph
There is an ongoing effort to develop tools that apply distributed compu...
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An Explicit Convergence Rate for Nesterov's Method from SDP
The framework of Integral Quadratic Constraints (IQC) introduced by Less...
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A Family of Tractable Graph Distances
Important data mining problems such as nearestneighbor search and clust...
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On the Complexity of the Weighted Fussed Lasso
The solution path of the 1D fused lasso for an ndimensional input is pi...
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On the Complexity of the Weighted Fused Lasso
The solution path of the 1D fused lasso for an ndimensional input is pi...
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Accelerated PrimalDual Policy Optimization for Safe Reinforcement Learning
Constrained Markov Decision Process (CMDP) is a natural framework for re...
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Minimum length RNA folding trajectories
The Kinfold and KFOLD programs for RNA folding kinetics implement the Gi...
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Asynchronous CrashTolerant Consensus in Directed Graphs: Randomization and Topology Knowledge
Consider a directed pointtopoint network. We are interested in the asy...
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Penetrating a Social Network: The Followback Problem
Modern threats have emerged from the prevalence of social networks. Host...
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nmetrics for multiple graph alignment
The work of Ioannidis et al. 2018 introduces a family of distances betwe...
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Genomescale estimation of cellular objectives
Cellular metabolism is predicted accurately at the genomescale using co...
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How should we (correctly) compare multiple graphs?
Graphs are used in almost every scientific discipline to express relatio...
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Efficient Projection onto the Perfect Phylogeny Model
Several algorithms build on the perfect phylogeny model to infer evoluti...
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TurkEyes: A WebBased Toolbox for Crowdsourcing Attention Data
Eye movements provide insight into what parts of an image a viewer finds...
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Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives
Stochastic gradient descent (SGD) has been widely studied in the literat...
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Asynchronous Byzantine Approximate Consensus in Directed Networks
In this work, we study the approximate consensus problem in asynchronous...
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Neural Polysynthetic Language Modelling
Research in natural language processing commonly assumes that approaches...
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Blockchain and Fog Computing for CyberPhysical Systems: Case of Smart Industry
Blockchain has revolutionized how transactions are conducted by ensuring...
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EntanglementEmbedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting
Chaotic time series forecasting has been far less understood despite its...
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Reliable Broadcast in Practical Networks: Algorithm and Evaluation
Reliable broadcast is an important primitive to ensure that a source nod...
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Boston College
Boston College, the first institution of higher education to operate in the city of Boston, is today among the nation's foremost universities, a leader in the liberal arts, scientific inquiry, and student formation.