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Alkis Kalavasis
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Journal Articles
- 2022
- [j1]Dimitris Fotakis, Alkis Kalavasis
, Christos Tzamos:
Efficient Parameter Estimation of Truncated Boolean Product Distributions. Algorithmica 84(8): 2186-2221 (2022)
Conference and Workshop Papers
- 2024
- [c19]Andreas Galanis, Alkis Kalavasis, Anthimos Vardis Kandiros:
On Sampling from Ising Models with Spectral Constraints. APPROX/RANDOM 2024: 70:1-70:14 - [c18]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss. COLT 2024: 359-405 - [c17]Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis:
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract). COLT 2024: 2767 - [c16]Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou:
Replicable Learning of Large-Margin Halfspaces. ICML 2024 - [c15]Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm, Manolis Zampetakis
On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games. ITCS 2024: 5:1-5:24 - [c14]Andreas Galanis, Alkis Kalavasis, Anthimos Vardis Kandiros:
Learning Hard-Constrained Models with One Sample. SODA 2024: 3184-3196 - 2023
- [c13]Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas:
Replicable Bandits. ICLR 2023 - [c12]Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Statistical Indistinguishability of Learning Algorithms. ICML 2023: 15586-15622 - [c11]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. NeurIPS 2023 - [c10]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. NeurIPS 2023 - 2022
- [c9]Jason Milionis, Alkis Kalavasis, Dimitris A. Fotakis, Stratis Ioannidis:
Differentially Private Regression with Unbounded Covariates. AISTATS 2022: 3242-3273 - [c8]Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki
Label Ranking through Nonparametric Regression. ICML 2022: 6622-6659 - [c7]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Linear Label Ranking with Bounded Noise. NeurIPS 2022 - [c6]Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Perfect Sampling from Pairwise Comparisons. NeurIPS 2022 - [c5]Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis:
Learning and Covering Sums of Independent Random Variables with Unbounded Support. NeurIPS 2022 - [c4]Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi:
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes. NeurIPS 2022 - 2021
- [c3]Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos:
Aggregating Incomplete and Noisy Rankings. AISTATS 2021: 2278-2286 - [c2]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Efficient Algorithms for Learning from Coarse Labels. COLT 2021: 2060-2079 - 2020
- [c1]Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Efficient Parameter Estimation of Truncated Boolean Product Distributions. COLT 2020: 1586-1600
Informal and Other Publications
- 2024
- [i19]Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou:
Replicable Learning of Large-Margin Halfspaces. CoRR abs/2402.13857 (2024) - [i18]Alkis Kalavasis, Ilias Zadik, Manolis Zampetakis:
Transfer Learning Beyond Bounded Density Ratios. CoRR abs/2403.11963 (2024) - [i17]Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou:
On the Computational Landscape of Replicable Learning. CoRR abs/2405.15599 (2024) - [i16]Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis:
Injecting Undetectable Backdoors in Deep Learning and Language Models. CoRR abs/2406.05660 (2024) - [i15]Andreas Galanis, Alkis Kalavasis, Anthimos Vardis Kandiros:
On Sampling from Ising Models with Spectral Constraints. CoRR abs/2407.07645 (2024) - 2023
- [i14]Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas:
Statistical Indistinguishability of Learning Algorithms. CoRR abs/2305.14311 (2023) - [i13]Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. CoRR abs/2307.03848 (2023) - [i12]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. CoRR abs/2310.05309 (2023) - [i11]Andreas Galanis, Alkis Kalavasis, Anthimos Vardis Kandiros:
Learning Hard-Constrained Models with One Sample. CoRR abs/2311.03332 (2023) - [i10]Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm, Manolis Zampetakis
On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games. CoRR abs/2311.14869 (2023) - 2022
- [i9]Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis:
Differentially Private Regression with Unbounded Covariates. CoRR abs/2202.11199 (2022) - [i8]Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas:
Reproducible Bandits. CoRR abs/2210.01898 (2022) - [i7]Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi:
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes. CoRR abs/2210.02297 (2022) - [i6]Alkis Kalavasis, Konstantinos Stavropoulos, Manolis Zampetakis
Learning and Covering Sums of Independent Random Variables with Unbounded Support. CoRR abs/2210.13313 (2022) - [i5]Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Perfect Sampling from Pairwise Comparisons. CoRR abs/2211.12868 (2022) - 2021
- [i4]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Efficient Algorithms for Learning from Coarse Labels. CoRR abs/2108.09805 (2021) - [i3]Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki:
Label Ranking through Nonparametric Regression. CoRR abs/2111.02749 (2021) - 2020
- [i2]Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos:
Efficient Parameter Estimation of Truncated Boolean Product Distributions. CoRR abs/2007.02392 (2020) - [i1]Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos:
Aggregating Incomplete and Noisy Rankings. CoRR abs/2011.00810 (2020)
Coauthor Index
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