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04/02/2023
A principled approach to model validation in domain generalization
Domain generalization aims to learn a model with good generalization abi...
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11/08/2022
Bounded Guaranteed Algorithms for Concave Impurity Minimization Via Maximum Likelihood
Partitioning algorithms play a key role in many scientific and engineeri...
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10/26/2022
Trade-off between reconstruction loss and feature alignment for domain generalization
Domain generalization (DG) is a branch of transfer learning that aims to...
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08/31/2022
Supervised Contrastive Learning with Hard Negative Samples
Unsupervised contrastive learning (UCL) is a self-supervised learning te...
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08/01/2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization
In this paper, we propose a novel domain generalization (DG) framework b...
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01/25/2022
Conditional entropy minimization principle for learning domain invariant representation features
Invariance principle-based methods, for example, Invariant Risk Minimiza...
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09/04/2021
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization
For the Domain Generalization (DG) problem where the hypotheses are comp...
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01/08/2020
Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint
Given a channel having binary input X = (x_1, x_2) having the probabilit...
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01/07/2020
On Bounds and Closed Form Expressions for Capacities of Discrete Memoryless Channels with Invertible Positive Matrices
While capacities of discrete memoryless channels are well studied, it is...
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01/07/2020
Single-bit Quantization Capacity of Binary-input Continuous-output Channels
We consider a channel with discrete binary input X that is corrupted by ...
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01/07/2020
On the Uniqueness of Binary Quantizers for Maximizing Mutual Information
We consider a channel with a binary input X being corrupted by a continu...
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01/07/2020
Entropy-Constrained Maximizing Mutual Information Quantization
In this paper, we investigate the quantization of the output of a binary...
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01/06/2020
Communication-Channel Optimized Partition
Given an original discrete source X with the distribution p_X that is co...
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12/31/2019
Minimizing Impurity Partition Under Constraints
Set partitioning is a key component of many algorithms in machine learni...
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08/25/2017
