Siddarth Srinivasan

According to our database, Siddarth Srinivasan authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Resolving Prediction Markets for Unverifiable Outcomes.

Siddarth Srinivasan, Ezra Karger, Yiling Chen

CoRR, 2023

2022

Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks

Siddarth Srinivasan

PhD thesis, 2022

2021

Auctions and Prediction Markets for Scientific Peer Review.

Siddarth Srinivasan, Jamie Morgenstern

CoRR, 2021

Learning Deep Features in Instrumental Variable Regression.

Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton

Proceedings of the 9th International Conference on Learning Representations, 2021

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.

Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Expressiveness and Learning of Hidden Quantum Markov Models.

Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold.

Sandesh Adhikary, Siddarth Srinivasan, Byron Boots

CoRR, 2019

2018

Expressing Coherent Personality with Incremental Acquisition of Multimodal Behaviors.

Pedro Mota, Maike Paetzel, Andrea Fox, Aida Amini, Siddarth Srinivasan, James Kennedy

Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

Learning and Inference in Hilbert Space with Quantum Graphical Models.

Siddarth Srinivasan, Carlton Downey, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Simple and Effective Approach to the Story Cloze Test.

Siddarth Srinivasan, Richa Arora, Mark O. Riedl

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Hidden Quantum Markov Models.

Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018