Causal Modeling With Infinitely Many Variables. - Spencer Peters; Joseph Y. Halpern (CoRR, 2021)

On the (im)possibility of branch-and-bound search-to-decision reductions for approximate optimization. - Alexander Golovnev; Siyao Guo; Spencer Peters; Noah Stephens-Davidowitz (Electron. Colloquium Comput. Complex., 2021)

Reasoning about Causal Models with Infinitely Many Variables. - Joseph Y. Halpern; Spencer Peters (AAAI, 2022)

Revisiting Time-Space Tradeoffs for Function Inversion. - Alexander Golovnev; Siyao Guo; Spencer Peters; Noah Stephens-Davidowitz (Electron. Colloquium Comput. Complex., 2022)

The (Im)possibility of Simple Search-To-Decision Reductions for Approximation Problems. - Alexander Golovnev; Siyao Guo; Spencer Peters; Noah Stephens-Davidowitz (APPROX/RANDOM, 2023)

Lattice Problems beyond Polynomial Time. - Divesh Aggarwal; Huck Bennett; Zvika Brakerski; Alexander Golovnev; Rajendra Kumar 002; Zeyong Li; Spencer Peters; Noah Stephens-Davidowitz; Vinod Vaikuntanathan (STOC, 2023)

Qualitative Mechanism Independence. - Oliver Richardson; Spencer J. Peters; Joseph Y. Halpern (NeurIPS, 2024)

Pseudorandom Obfuscation and Applications. - Pedro Branco 005; Nico Döttling; Abhishek Jain 002; Giulio Malavolta; Surya Mathialagan; Spencer Peters; Vinod Vaikuntanathan (IACR Cryptol. ePrint Arch., 2024)

Adaptively Sound Zero-Knowledge SNARKs for UP. - Surya Mathialagan; Spencer Peters; Vinod Vaikuntanathan (IACR Cryptol. ePrint Arch., 2024)

Recursive lattice reduction - A framework for finding short lattice vectors. - Divesh Aggarwal; Thomas Espitau; Spencer Peters; Noah Stephens-Davidowitz (SOSA, 2025)

A Unifying Framework for Causal Modeling With Infinitely Many Variables. - Spencer Peters; Joseph Y. Halpern (J. Artif. Intell. Res., 2025)