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Guillermo Angeris

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2020 – today

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2025
[i15]
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Alex Evans, Nicolas Mohnblatt, Guillermo Angeris:
ZODA: Zero-Overhead Data Availability. IACR Cryptol. ePrint Arch. 2025: 34 (2025)
2024
[c11]
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Theo Diamandis, Guillermo Angeris:
Solving the Convex Flow Problem. CDC 2024: 3936-3941
[c10]
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Guillermo Angeris, Tarun Chitra, Theo Diamandis, Kshitij Kulkarni, Alex Evans:
The Geometry of Constant Function Market Makers. EC 2024: 732
[i14]
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  - journals/corr/abs-2402-08661
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Guillermo Angeris, Theo Diamandis, Ciamac Moallemi:
Multidimensional Blockchain Fees are (Essentially) Optimal. CoRR abs/2402.08661 (2024)
[i13]
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  - journals/corr/abs-2408-11040
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Theo Diamandis, Guillermo Angeris:
Solving the Convex Flow Problem. CoRR abs/2408.11040 (2024)
[i12]
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Guillermo Angeris, Alex Evans, Gyumin Roh:
A Note on Ligero and Logarithmic Randomness. IACR Cryptol. ePrint Arch. 2024: 1399 (2024)
2023
[j4]
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Guillermo Angeris, Tarun Chitra, Alex Evans, Matthew Lorig:
Short Communication: A Primer on Perpetuals. SIAM J. Financial Math. 14(1): 17- (2023)
[c9]
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Theo Diamandis, Alex Evans, Tarun Chitra, Guillermo Angeris:
Designing Multidimensional Blockchain Fee Markets. AFT 2023: 4:1-4:23
[c8]
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Theo Diamandis, Max Resnick, Tarun Chitra, Guillermo Angeris:
An Efficient Algorithm for Optimal Routing Through Constant Function Market Makers. FC 2023: 128-145
[c7]
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Nicholas A. G. Johnson, Theo Diamandis, Alex Evans, Henry de Valence, Guillermo Angeris:
Concave Pro-rata Games. FC Workshops 2023: 266-285
[i11]
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  - journals/corr/abs-2302-02126
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Nicholas A. G. Johnson, Theo Diamandis, Alex Evans, Henry de Valence, Guillermo Angeris:
Concave Pro-rata Games. CoRR abs/2302.02126 (2023)
[i10]
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  - journals/corr/abs-2303-15239
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Theo Diamandis, Guillermo Angeris:
A Note on the Welfare Gap in Fair Ordering. CoRR abs/2303.15239 (2023)
[i9]
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  - journals/corr/abs-2310-07865
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Guillermo Angeris, Tarun Chitra, Theo Diamandis, Kshitij Kulkarni:
The Specter (and Spectra) of Miner Extractable Value. CoRR abs/2310.07865 (2023)
[i8]
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Alex Evans, Guillermo Angeris:
Succinct Proofs and Linear Algebra. IACR Cryptol. ePrint Arch. 2023: 1478 (2023)
2022
[c6]
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Tarun Chitra, Guillermo Angeris, Alex Evans, Hsien-Tang Kao:
A Note On Borrowing Constant Function Market Maker Shares. DeFi@CCS 2022: 55-61
[c5]
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Tarun Chitra, Guillermo Angeris, Alex Evans:
Differential Privacy in Constant Function Market Makers. Financial Cryptography 2022: 149-178
[c4]
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Guillermo Angeris, Alex Evans, Tarun Chitra, Stephen P. Boyd:
Optimal Routing for Constant Function Market Makers. EC 2022: 115-128
[i7]
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  - journals/corr/abs-2208-07919
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Theo Diamandis, Alex Evans, Tarun Chitra, Guillermo Angeris:
Dynamic Pricing for Non-fungible Resources. CoRR abs/2208.07919 (2022)
2021
[j3]
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  - journals/jossw/SatmanAAA21
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Mehmet Hakan Satman, Shreesh Adiga, Guillermo Angeris, Emre Akadal:
LinRegOutliers: A Julia package for detecting outliers in linear regression. J. Open Source Softw. 6(57): 2892 (2021)
[j2]
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Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Optimal representative sample weighting. Stat. Comput. 31(3): 19 (2021)
[c3]
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Alex Evans, Guillermo Angeris, Tarun Chitra:
Optimal Fees for Geometric Mean Market Makers. Financial Cryptography Workshops 2021: 65-79
[i6]
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  - journals/corr/abs-2103-01193
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Guillermo Angeris, Alex Evans, Tarun Chitra:
A Note on Privacy in Constant Function Market Makers. CoRR abs/2103.01193 (2021)
[i5]
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  - journals/corr/abs-2107-10956
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Kunal Shah, Guillermo Angeris, Mac Schwager:
Reciprocal Multi-Robot Collision Avoidance with Asymmetric State Uncertainty. CoRR abs/2107.10956 (2021)
[i4]
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  - journals/iacr/ChitraAE21
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Tarun Chitra, Guillermo Angeris, Alex Evans:
Differential Privacy in Constant Function Market Makers. IACR Cryptol. ePrint Arch. 2021: 1101 (2021)
2020
[j1]
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  - journals/ol/BarrattAB20
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Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Minimizing a sum of clipped convex functions. Optim. Lett. 14(8): 2443-2459 (2020)
[c2]
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Guillermo Angeris, Tarun Chitra:
Improved Price Oracles: Constant Function Market Makers. AFT 2020: 80-91
[i3]
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  - journals/corr/abs-2005-09065
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Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Optimal Representative Sample Weighting. CoRR abs/2005.09065 (2020)

2010 – 2019

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2019
[c1]
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  - conf/isrr/AngerisSS19
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Guillermo Angeris, Kunal Shah, Mac Schwager:
Fast Reciprocal Collision Avoidance Under Measurement Uncertainty. ISRR 2019: 191-207
[i2]
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  - journals/corr/abs-1905-12875
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Guillermo Angeris, Kunal Shah, Mac Schwager:
Fast Reciprocal Collision Avoidance Under Measurement Uncertainty. CoRR abs/1905.12875 (2019)
[i1]
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  - journals/corr/abs-1911-03380
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Guillermo Angeris, Hsien-Tang Kao, Rei Chiang, Charlie Noyes, Tarun Chitra:
An analysis of Uniswap markets. CoRR abs/1911.03380 (2019)

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