עקוב אחר
Alkis Kalavasis
Alkis Kalavasis
Yale University
כתובת אימייל מאומתת בדומיין yale.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Statistical indistinguishability of learning algorithms‏
A Kalavasis, A Karbasi, S Moran, G Velegkas‏
International Conference on Machine Learning 40, 2023‏
282023
Optimal Learners for Realizable Regression: PAC Learning and Online Learning‏
I Attias, S Hanneke, A Kalavasis, A Karbasi, G Velegkas‏
Advances in Neural Information Processing Systems 36, 2023‏
252023
Replicable bandits‏
H Esfandiari, A Kalavasis, A Karbasi, A Krause, V Mirrokni, G Velegkas‏
arXiv preprint arXiv:2210.01898, 2022‏
252022
Efficient parameter estimation of truncated boolean product distributions‏
D Fotakis, A Kalavasis, C Tzamos‏
Conference on learning theory, 1586-1600, 2020‏
212020
Efficient algorithms for learning from coarse labels‏
D Fotakis, A Kalavasis, V Kontonis, C Tzamos‏
Conference on Learning Theory, 2060-2079, 2021‏
192021
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes‏
A Kalavasis, G Velegkas, A Karbasi‏
Advances in Neural Information Processing Systems 35, 2022‏
142022
Differentially private regression with unbounded covariates‏
J Milionis, A Kalavasis, D Fotakis, S Ioannidis‏
International Conference on Artificial Intelligence and Statistics, 3242-3273, 2022‏
142022
Replicable learning of large-margin halfspaces‏
A Kalavasis, A Karbasi, KG Larsen, G Velegkas, F Zhou‏
arXiv preprint arXiv:2402.13857, 2024‏
92024
Label ranking through nonparametric regression‏
D Fotakis, A Kalavasis, E Psaroudaki‏
International Conference on Machine Learning, 6622-6659, 2022‏
92022
Aggregating incomplete and noisy rankings‏
D Fotakis, A Kalavasis, K Stavropoulos‏
International conference on artificial intelligence and statistics, 2278-2286, 2021‏
82021
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods‏
C Caramanis, D Fotakis, A Kalavasis, V Kontonis, C Tzamos‏
Advances in Neural Information Processing Systems 36, 2023‏
52023
Transfer learning beyond bounded density ratios‏
A Kalavasis, I Zadik, M Zampetakis‏
arXiv preprint arXiv:2403.11963, 2024‏
42024
On the complexity of computing sparse equilibria and lower bounds for no-regret learning in games‏
I Anagnostides, A Kalavasis, T Sandholm, M Zampetakis‏
arXiv preprint arXiv:2311.14869, 2023‏
42023
Linear label ranking with bounded noise‏
D Fotakis, A Kalavasis, V Kontonis, C Tzamos‏
Advances in Neural Information Processing Systems 35, 15642-15656, 2022‏
42022
Perfect Sampling from Pairwise Comparisons‏
D Fotakis, A Kalavasis, C Tzamos‏
Advances in Neural Information Processing Systems 35, 2022‏
42022
On the limits of language generation: Trade-offs between hallucination and mode collapse‏
A Kalavasis, A Mehrotra, G Velegkas‏
arXiv preprint arXiv:2411.09642, 2024‏
32024
On sampling from Ising models with spectral constraints‏
A Galanis, A Kalavasis, AV Kandiros‏
arXiv preprint arXiv:2407.07645, 2024‏
32024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss‏
I Attias, S Hanneke, A Kalavasis, A Karbasi, G Velegkas‏
The Thirty Seventh Annual Conference on Learning Theory, 359-405, 2024‏
32024
On the computational landscape of replicable learning‏
A Kalavasis, A Karbasi, G Velegkas, F Zhou‏
arXiv preprint arXiv:2405.15599, 2024‏
22024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models‏
A Kalavasis, A Karbasi, A Oikonomou, K Sotiraki, G Velegkas, ...‏
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024‏
2*2024
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מאמרים 1–20