Nick Polson

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Compute for ML Optimization. CoRR Nick Polson, Vadim Sokolov
2026	J	`jnl`	Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates. CoRR Nick Polson, Vadim Sokolov
2026	J	`jnl`	Horseshoe Mixtures-of-Experts (HS-MoE). CoRR Nick Polson, Vadim Sokolov
2026	J	`jnl`	Photons = Tokens: The Physics of AI and the Economics of Knowledge. CoRR Alec Litowitz, Nick Polson, Vadim Sokolov
2025	J	`jnl`	Bayesian Double Descent. CoRR Nick Polson, Vadim Sokolov
2025	J	`jnl`	Generative AI for Bayesian Computation. Entropy Nick Polson, Vadim Sokolov
2025	J	`jnl`	Generative Modeling: A Review. CoRR Nick Polson, Vadim Sokolov
2024	J	`jnl`	Generative Bayesian Computation for Maximum Expected Utility. Entropy Nick Polson, Fabrizio Ruggeri, Vadim Sokolov
2023	J	`jnl`	Deep Learning: A Tutorial. CoRR Nick Polson, Vadim Sokolov
2022	J	`jnl`	Chess AI: Competing Paradigms for Machine Intelligence. Entropy Shiva Maharaj, Nick Polson, Alex Turk
2021	J	`jnl`	Chess AI: Competing Paradigms for Machine Intelligence. CoRR Shiva Maharaj, Nick Polson, Alex Turk
2021	J	`jnl`	Karpov's Queen Sacrifices and AI. CoRR Shiva Maharaj, Nick Polson
2020	J	`jnl`	Short Communication: Deep Fundamental Factor Models. SIAM J. Financial Math. Matthew F. Dixon, Nick Polson