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Journal of the ACM, Volume 71
Volume 71, Number 1, February 2024
- Sean Ovens:
The Space Complexity of Consensus from Swap. 1:1-1:26
- Dario Stein, Sam Staton:
Probabilistic Programming with Exact Conditions. 2:1-2:53
- Aïna Linn Georges, Armaël Guéneau, Thomas Van Strydonck, Amin Timany, Alix Trieu, Dominique Devriese, Lars Birkedal:
Cerise: Program Verification on a Capability Machine in the Presence of Untrusted Code. 3:1-3:59
- Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn:
EFX Exists for Three Agents. 4:1-4:27
- Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath:
Optimal Auctions through Deep Learning: Advances in Differentiable Economics. 5:1-5:53
Volume 71, Number 2, April 2024
- Moritz Lichter, Pascal Schweitzer:
Choiceless Polynomial Time with Witnessed Symmetric Choice. 7:1-7:70
- Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Convergence of datalog over (Pre-) Semirings. 8:1-8:55
- Yuqing Kong:
Dominantly Truthful Peer Prediction Mechanisms with a Finite Number of Tasks. 9:1-9:49
- Vincent Cohen-Addad, Debarati Das, Evangelos Kipouridis, Nikos Parotsidis, Mikkel Thorup:
Fitting Distances by Tree Metrics Minimizing the Total Error within a Constant Factor. 10:1-10:41
- Vincent Neiger, Bruno Salvy, Éric Schost, Gilles Villard:
Faster Modular Composition. 11:1-11:79
- Shang-En Huang, Seth Pettie, Leqi Zhu:
Byzantine Agreement with Optimal Resilience via Statistical Fraud Detection. 12:1-12:37
- Maria-Florina Balcan, Travis Dick, Tuomas Sandholm, Ellen Vitercik:
Learning to Branch: Generalization Guarantees and Limits of Data-Independent Discretization. 13:1-13:73
- Arthur Oliveira Vale, Zhong Shao, Yixuan Chen:
A Compositional Theory of Linearizability. 14:1-14:107
- Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Sketching Approximability of All Finite CSPs. 15:1-15:74
- Javier Esparza, Rubén Rubio, Salomon Sickert:
Efficient Normalization of Linear Temporal Logic. 16:1-16:42
Volume 71, Number 3, June 2024
- Michael Dinitz, Jeremy T. Fineman, Seth Gilbert, Calvin Newport:
Smoothed Analysis of Information Spreading in Dynamic Networks. 17
- Noga Ron-Zewi, Ron Rothblum:
Local Proofs Approaching the Witness Length. 18
- Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis with Adaptive Adversaries. 19
- Takashi Yamakawa, Mark Zhandry:
Verifiable Quantum Advantage without Structure. 20
- Édouard Bonnet, Ugo Giocanti, Patrice Ossona de Mendez, Pierre Simon, Stéphan Thomassé, Szymon Torunczyk:
Twin-Width IV: Ordered Graphs and Matrices. 21
- Vishwas Bhargava, Sumanta Ghosh, Zeyu Guo, Mrinal Kumar, Chris Umans:
Fast Multivariate Multipoint Evaluation over All Finite Fields. 22
- Itai Dinur, Nathan Keller, Ohad Klein:
Fine-grained Cryptanalysis: Tight Conditional Bounds for Dense k-SUM and k-XOR. 23
- Jason M. Altschuler, Sinho Chewi:
Faster High-accuracy Log-concave Sampling via Algorithmic Warm Starts. 24
Volume 71, Number 4, August 2024
- Juan A. Garay, Aggelos Kiayias, Nikos Leonardos:
The Bitcoin Backbone Protocol: Analysis and Applications. 25:1-25:49
- Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao:
Separations in Proof Complexity and TFNP. 26:1-26:45
- Dimitrios M. Thilikos, Sebastian Wiederrecht:
Killing a Vortex. 27:1-27:56
- Mickaël Buchet, Bianca B. Dornelas, Michael Kerber:
Sparse Higher Order Čech Filtrations. 28:1-28:23
- Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan:
Query Lower Bounds for Log-concave Sampling. 29:1-29:42
- Tim Roughgarden:
Transaction Fee Mechanism Design. 30:1-30:25
Volume 71, Number 5, October 2024
- Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos:
Pure-Circuit: Tight Inapproximability for PPAD. 31:1-31:48
- Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How Much Data Is Sufficient to Learn High-Performing Algorithms? 32:1-32:58
- Sayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak, David Wajc:
Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update Time. 33:1-33:32
- Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva:
Fast Algorithms for ℓp-Regression. 34:1-34:45
- Namiko Matsumoto, Arya Mazumdar:
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. 35:1-35:64
- Antoine Mottet, Michael Pinsker:
Smooth approximations: An algebraic approach to CSPs over finitely bounded homogeneous structures. 36:1-36:47
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