Srinivasan, Sriram

12 publications

MLJ 2022 A Taxonomy of Weight Learning Methods for Statistical Relational Learning Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor

MLJ 2021 A Comparison of Statistical Relational Learning and Graph Neural Networks for Aggregate Graph Queries Varun Embar, Sriram Srinivasan, Lise Getoor

AAAI 2021 Interactive Speech and Noise Modeling for Speech Enhancement Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu

AAAI 2020 BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor

AAAI 2020 Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference Sriram Srinivasan, Eriq Augustine, Lise Getoor

AAAI 2019 Lifted Hinge-Loss Markov Random Fields Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

AISTATS 2019 Two-Temperature Logistic Regression Based on the Tsallis Divergence Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan

NeurIPS 2018 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling

ICML 2017 Neural Episodic Control Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell

NeurIPS 2016 Unifying Count-Based Exploration and Intrinsic Motivation Marc Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Remi Munos

AAAI 2015 Improving Exploration in UCT Using Local Manifolds Sriram Srinivasan, Erik Talvitie, Michael H. Bowling

AAAI 1997 Pattern Discovery in Distributed Databases Raj Bhatnagar, Sriram Srinivasan