Search Results for author: Charles Dickens

Found 6 papers, 3 papers with code

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning

2 code implementations17 Jan 2024 Charles Dickens, Changyu Gao, Connor Pryor, Stephen Wright, Lise Getoor

We address a key challenge for neuro-symbolic (NeSy) systems by leveraging convex and bilevel optimization techniques to develop a general gradient-based framework for end-to-end neural and symbolic parameter learning.

Bilevel Optimization

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training

1 code implementation24 Dec 2023 Charles Dickens, Eddie Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra

Notably, CONVMATCH achieves up to 95% of the prediction performance of GNNs on node classification while trained on graphs summarized down to 1% the size of the original graph.

Link Prediction Node Classification

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation

1 code implementation17 May 2023 Jiong Zhu, Aishwarya Reganti, Edward Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

Backed by our theoretical analysis, instead of maximizing the recovery of cross-instance node dependencies -- which has been considered the key behind closing the performance gap between model aggregation and centralized training -- , our framework leverages randomized assignment of nodes or super-nodes (i. e., collections of original nodes) to partition the training graph such that it improves data uniformity and minimizes the discrepancy of gradient and loss function across instances.

Emotion Recognition in Conversation using Probabilistic Soft Logic

no code implementations14 Jul 2022 Eriq Augustine, Pegah Jandaghi, Alon Albalak, Connor Pryor, Charles Dickens, William Wang, Lise Getoor

Creating agents that can both appropriately respond to conversations and understand complex human linguistic tendencies and social cues has been a long standing challenge in the NLP community.

Emotion Recognition in Conversation Logical Reasoning +2

NeuPSL: Neural Probabilistic Soft Logic

no code implementations27 May 2022 Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Wang, Lise Getoor

In this paper, we introduce Neural Probabilistic Soft Logic (NeuPSL), a novel neuro-symbolic (NeSy) framework that unites state-of-the-art symbolic reasoning with the low-level perception of deep neural networks.

HyperFair: A Soft Approach to Integrating Fairness Criteria

no code implementations5 Sep 2020 Charles Dickens, Rishika Singh, Lise Getoor

In this paper, we introduce HyperFair, a general framework for enforcing soft fairness constraints in a hybrid recommender system.

Fairness Recommendation Systems

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