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06/25/2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Recent contrastive representation learning methods rely on estimating mu...
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03/10/2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Adversarial learning has demonstrated good performance in the unsupervis...
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12/02/2019
Expressiveness and Learning of Hidden Quantum Markov Models
Extending classical probabilistic reasoning using the quantum mechanical...
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11/14/2019
A Reduction from Reinforcement Learning to No-Regret Online Learning
We present a reduction from reinforcement learning (RL) to no-regret onl...
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10/24/2017
Learning Hidden Quantum Markov Models
Hidden Quantum Markov Models (HQMMs) can be thought of as quantum probab...
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06/20/2017
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint
We propose a Frank-Wolfe (FW) solver to optimize the symmetric nonnegati...
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05/25/2017
Principled Hybrids of Generative and Discriminative Domain Adaptation
We propose a probabilistic framework for domain adaptation that blends b...
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04/28/2017
DeepArchitect: Automatically Designing and Training Deep Architectures
In deep learning, performance is strongly affected by the choice of arch...
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02/15/2017
Linear Time Computation of Moments in Sum-Product Networks
Bayesian online algorithms for Sum-Product Networks (SPNs) need to updat...
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02/14/2017
Efficient Multi-task Feature and Relationship Learning
In this paper we propose a multi-convex framework for multi-task learnin...
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01/03/2016
