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Publication search results
found 35 matches
- 2021
- Markus Anders, Pascal Schweitzer, Florian Wetzels
:
Comparative Design-Choice Analysis of Color Refinement Algorithms Beyond the Worst Case. ICALP 2021: 15:1-15:15 - Markus Anders, Pascal Schweitzer, Florian Wetzels:
Comparative Design-Choice Analysis of Color Refinement Algorithms Beyond the Worst Case. CoRR abs/2103.10244 (2021) - 2020
- Rong Ge, Ankur Moitra:
Topic Models and Nonnegative Matrix Factorization. Beyond the Worst-Case Analysis of Algorithms 2020: 445-464 - Maria-Florina Balcan:
Data-Driven Algorithm Design. Beyond the Worst-Case Analysis of Algorithms 2020: 626-645 - Maria-Florina Balcan, Nika Haghtalab:
Noise in Classification. Beyond the Worst-Case Analysis of Algorithms 2020: 361-381 - Jérémy Barbay:
From Adaptive Analysis to Instance Optimality. Beyond the Worst-Case Analysis of Algorithms 2020: 52-71 - Avrim Blum:
Approximation Stability and Proxy Objectives. Beyond the Worst-Case Analysis of Algorithms 2020: 120-139 - Kai-Min Chung, Michael Mitzenmacher, Salil P. Vadhan:
When Simple Hash Functions Suffice. Beyond the Worst-Case Analysis of Algorithms 2020: 567-585 - Daniel Dadush, Sophie Huiberts:
Smoothed Analysis of the Simplex Method. Beyond the Worst-Case Analysis of Algorithms 2020: 309-333 - Sanjoy Dasgupta, Samory Kpotufe:
Nearest Neighbor Classification and Search. Beyond the Worst-Case Analysis of Algorithms 2020: 403-423 - Ilias Diakonikolas, Daniel M. Kane:
Robust High-Dimensional Statistics. Beyond the Worst-Case Analysis of Algorithms 2020: 382-402 - Uriel Feige:
Introduction to Semirandom Models. Beyond the Worst-Case Analysis of Algorithms 2020: 189-211 - Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi:
Parameterized Algorithms. Beyond the Worst-Case Analysis of Algorithms 2020: 27-51 - Vijay Ganesh, Moshe Y. Vardi:
On the Unreasonable Effectiveness of SAT Solvers. Beyond the Worst-Case Analysis of Algorithms 2020: 547-566 - Anupam Gupta
, Sahil Singla:
Random-Order Models. Beyond the Worst-Case Analysis of Algorithms 2020: 234-258 - Moritz Hardt:
Generalization in Overparameterized Models. Beyond the Worst-Case Analysis of Algorithms 2020: 486-505 - Anna R. Karlin, Elias Koutsoupias:
Beyond Competitive Analysis. Beyond the Worst-Case Analysis of Algorithms 2020: 529-546 - Tengyu Ma:
Why Do Local Methods Solve Nonconvex Problems? Beyond the Worst-Case Analysis of Algorithms 2020: 465-485 - Konstantin Makarychev, Yury Makarychev:
Perturbation Resilience. Beyond the Worst-Case Analysis of Algorithms 2020: 95-119 - Bodo Manthey:
Smoothed Analysis of Local Search. Beyond the Worst-Case Analysis of Algorithms 2020: 285-308 - Michael Mitzenmacher, Sergei Vassilvitskii:
Algorithms with Predictions. Beyond the Worst-Case Analysis of Algorithms 2020: 646-662 - Ankur Moitra:
Semirandom Stochastic Block Models. Beyond the Worst-Case Analysis of Algorithms 2020: 212-233 - Eric Price:
Sparse Recovery. Beyond the Worst-Case Analysis of Algorithms 2020: 140-164 - Heiko Röglin:
Smoothed Analysis of Pareto Curves in Multiobjective Optimization. Beyond the Worst-Case Analysis of Algorithms 2020: 334-358 - Tim Roughgarden:
Introduction. Beyond the Worst-Case Analysis of Algorithms 2020: 1-24 - Tim Roughgarden:
Resource Augmentation. Beyond the Worst-Case Analysis of Algorithms 2020: 72-92 - Tim Roughgarden:
Distributional Analysis. Beyond the Worst-Case Analysis of Algorithms 2020: 167-188 - Tim Roughgarden, C. Seshadhri:
Distribution-Free Models of Social Networks. Beyond the Worst-Case Analysis of Algorithms 2020: 606-625 - C. Seshadhri:
Self-Improving Algorithms. Beyond the Worst-Case Analysis of Algorithms 2020: 259-282 - Inbal Talgam-Cohen:
Prior-Independent Auctions. Beyond the Worst-Case Analysis of Algorithms 2020: 586-605
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