TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

1 code implementation • 31 May 2023 • Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai

This paper (1) presents Pinterest's ranking architecture for Homefeed, our personalized recommendation product and the largest engagement surface; (2) proposes TransAct, a sequential model that extracts users' short-term preferences from their realtime activities; (3) describes our hybrid approach to ranking, which combines end-to-end sequential modeling via TransAct with batch-generated user embeddings.

Sequential Recommendation

Community detection using fast low-cardinality semidefinite programming

1 code implementation • NeurIPS 2020 • Po-Wei Wang, J. Zico Kolter

Modularity maximization has been a fundamental tool for understanding the community structure of a network, but the underlying optimization problem is nonconvex and NP-hard to solve.

Community Detection

Efficient semidefinite-programming-based inference for binary and multi-class MRFs

1 code implementation • NeurIPS 2020 • Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter

Probabilistic inference in pairwise Markov Random Fields (MRFs), i. e. computing the partition function or computing a MAP estimate of the variables, is a foundational problem in probabilistic graphical models.

Differentiable learning of numerical rules in knowledge graphs

no code implementations • ICLR 2020 • Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter

Rules over a knowledge graph (KG) capture interpretable patterns in data and can be used for KG cleaning and completion.

Knowledge Graphs

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

3 code implementations • 29 May 2019 • Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter

We demonstrate that by integrating this solver into end-to-end learning systems, we can learn the logical structure of challenging problems in a minimally supervised fashion.

Game of Sudoku Logical Reasoning

Low-rank semidefinite programming for the MAX2SAT problem

1 code implementation • 15 Dec 2018 • Po-Wei Wang, J. Zico Kolter

This paper proposes a new algorithm for solving MAX2SAT problems based on combining search methods with semidefinite programming approaches.

Realtime query completion via deep language models

no code implementations • ICLR 2018 • Po-Wei Wang, J. Zico Kolter, Vijai Mohan, Inderjit S. Dhillon

Search engine users nowadays heavily depend on query completion and correction to shape their queries.

Language Modelling

The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints

1 code implementation • 1 Jun 2017 • Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter

In this paper, we propose a low-rank coordinate descent approach to structured semidefinite programming with diagonal constraints.

Learning Word Embeddings