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Cameron E. Freer
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- affiliation: MIT, Cambridge, MA, USA
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2020 – today
- 2024
- [j12]Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka:
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. Proc. ACM Program. Lang. 8(PLDI): 790-815 (2024) - [j11]Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar, Jacek Karwowski, Sean K. Moss, Daniel M. Roy, Sam Staton, Hongseok Yang:
Probabilistic Programming Interfaces for Random Graphs: Markov Categories, Graphons, and Nominal Sets. Proc. ACM Program. Lang. 8(POPL): 1819-1849 (2024) - [i16]Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka:
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. CoRR abs/2406.15652 (2024) - 2023
- [i15]Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar, Jacek Karwowski, Sean K. Moss, Daniel M. Roy, Sam Staton, Hongseok Yang:
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets. CoRR abs/2312.17127 (2023) - 2022
- [c12]Nathanael L. Ackerman, Julian Asilis, Jieqi Di, Cameron E. Freer, Jean-Baptiste Tristan:
Computable PAC Learning of Continuous Features. LICS 2022: 7:1-7:12 - 2021
- [j10]Nathanael L. Ackerman, Cameron E. Freer, Rehana Patel:
On computable aspects of algebraic and definable closure. J. Log. Comput. 31(1): 2-19 (2021) - [i14]Nathanael L. Ackerman, Cameron E. Freer, Rehana Patel:
On computable aspects of algebraic and definable closure. CoRR abs/2101.11849 (2021) - [i13]Nathanael L. Ackerman, Julian Asilis, Jieqi Di, Cameron E. Freer, Jean-Baptiste Tristan:
On computable learning of continuous features. CoRR abs/2111.14630 (2021) - 2020
- [j9]Nathanael L. Ackerman, Cameron E. Freer, Robert S. Lubarsky:
An introduction to feedback Turing computability. J. Log. Comput. 30(1): 27-60 (2020) - [j8]Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka:
Optimal approximate sampling from discrete probability distributions. Proc. ACM Program. Lang. 4(POPL): 36:1-36:31 (2020) - [c11]Feras Saad, Cameron E. Freer, Martin C. Rinard, Vikash Mansinghka:
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. AISTATS 2020: 1036-1046 - [c10]Nathanael L. Ackerman, Cameron E. Freer, Rehana Patel:
Computability of Algebraic and Definable Closure. LFCS 2020: 1-11 - [i12]Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka:
Optimal Approximate Sampling from Discrete Probability Distributions. CoRR abs/2001.04555 (2020) - [i11]Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka:
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. CoRR abs/2003.03830 (2020) - [i10]Span Spanbauer, Cameron E. Freer, Vikash Mansinghka:
Deep Involutive Generative Models for Neural MCMC. CoRR abs/2006.15167 (2020)
2010 – 2019
- 2019
- [j7]Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
On the Computability of Conditional Probability. J. ACM 66(3): 23:1-23:40 (2019) - [j6]Nathanael L. Ackerman, Cameron E. Freer, Robert S. Lubarsky:
Feedback computability on Cantor space. Log. Methods Comput. Sci. 15(2) (2019) - [c9]Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka:
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. AISTATS 2019: 1640-1649 - [c8]Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, Daniel M. Roy, Jason M. Rute:
Algorithmic barriers to representing conditional independence. LICS 2019: 1-13 - [i9]Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman, Vikash K. Mansinghka:
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions. CoRR abs/1902.10142 (2019) - 2018
- [c7]Sam Staton, Dario Stein, Hongseok Yang, Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
The Beta-Bernoulli process and algebraic effects. ICALP 2018: 141:1-141:15 - [i8]Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, Daniel M. Roy, Jason M. Rute:
On the computability of graphons. CoRR abs/1801.10387 (2018) - [i7]Sam Staton, Dario Stein, Hongseok Yang, Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
The Beta-Bernoulli process and algebraic effects. CoRR abs/1802.09598 (2018) - 2017
- [j5]Nathanael L. Ackerman, Cameron E. Freer, Aleksandra Kwiatkowska, Rehana Patel:
A classification of orbits admitting a unique invariant measure. Ann. Pure Appl. Log. 168(1): 19-36 (2017) - [j4]Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
On computability and disintegration. Math. Struct. Comput. Sci. 27(8): 1287-1314 (2017) - [c6]Nathanael L. Ackerman, Cameron E. Freer:
Graph Turing Machines. WoLLIC 2017: 1-13 - [i6]Nathanael L. Ackerman, Cameron E. Freer:
On the computability of graph Turing machines. CoRR abs/1703.09406 (2017) - [i5]Nathanael L. Ackerman, Cameron E. Freer, Robert S. Lubarsky:
Feedback computability on Cantor space. CoRR abs/1708.01139 (2017) - 2016
- [j3]Nathanael L. Ackerman, Cameron E. Freer, Jaroslav Nesetril, Rehana Patel:
Invariant measures via inverse limits of finite structures. Eur. J. Comb. 52: 248-289 (2016) - 2015
- [c5]Nathanael L. Ackerman, Cameron E. Freer, Robert S. Lubarsky:
Feedback Turing Computability, and Turing Computability as Feedback. LICS 2015: 523-534 - [i4]Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
On computability and disintegration. CoRR abs/1509.02992 (2015) - 2014
- [j2]Cameron E. Freer, Bjørn Kjos-Hanssen, André Nies, Frank Stephan:
Algorithmic Aspects of Lipschitz Functions. Comput. 3(1): 45-61 (2014) - [p1]Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum:
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. Turing's Legacy 2014: 195-252 - 2013
- [c4]Nathanael L. Ackerman, Cameron E. Freer:
A Notion of a Computational Step for Partial Combinatory Algebras. TAMC 2013: 133-143 - 2012
- [j1]Cameron E. Freer, Daniel M. Roy:
Computable de Finetti measures. Ann. Pure Appl. Log. 163(5): 530-546 (2012) - [i3]Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum:
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. CoRR abs/1212.4799 (2012) - 2011
- [c3]Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
Noncomputable Conditional Distributions. LICS 2011: 107-116 - 2010
- [c2]Cameron E. Freer, Daniel M. Roy:
Posterior distributions are computable from predictive distributions. AISTATS 2010: 233-240 - [i2]Nathanael L. Ackerman, Cameron E. Freer, Daniel M. Roy:
On the computability of conditional probability. CoRR abs/1005.3014 (2010)
2000 – 2009
- 2009
- [c1]Cameron E. Freer, Daniel M. Roy:
Computable Exchangeable Sequences Have Computable de Finetti Measures. CiE 2009: 218-231 - [i1]Cameron E. Freer, Daniel M. Roy:
Computable de Finetti measures. CoRR abs/0912.1072 (2009)
Coauthor Index
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