Kalavasis, Alkis

21 publications

ICLRW 2025 DDPM Score Matching Is Asymptotically Efficient Sinho Chewi, Alkis Kalavasis, Anay Mehrotra, Omar Montasser

ICML 2025 Does Generation Require Memorization? Creative Diffusion Models Using Ambient Diffusion Kulin Shah, Alkis Kalavasis, Adam Klivans, Giannis Daras

COLT 2025 What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract) Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis

NeurIPS 2024 Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis

NeurIPS 2024 On the Computational Landscape of Replicable Learning Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou

ICML 2024 Replicable Learning of Large-Margin Halfspaces Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou

COLT 2024 Smaller Confidence Intervals from IPW Estimators via Data-Dependent Coarsening (Extended Abstract) Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis

COLT 2024 Universal Rates for Regression: Separations Between Cut-Off and Absolute Loss Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas

NeurIPS 2023 Optimal Learners for Realizable Regression: PAC Learning and Online Learning Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas

NeurIPS 2023 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos

ICLR 2023 Replicable Bandits Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas

ICML 2023 Statistical Indistinguishability of Learning Algorithms Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas

AISTATS 2022 Differentially Private Regression with Unbounded Covariates Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis

ICML 2022 Label Ranking Through Nonparametric Regression Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki

NeurIPS 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis

NeurIPS 2022 Linear Label Ranking with Bounded Noise Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos

NeurIPS 2022 Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi

NeurIPS 2022 Perfect Sampling from Pairwise Comparisons Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos

AISTATS 2021 Aggregating Incomplete and Noisy Rankings Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos

COLT 2021 Efficient Algorithms for Learning from Coarse Labels Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos

COLT 2020 Efficient Parameter Estimation of Truncated Boolean Product Distributions Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos