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<rss version="2.0"><channel><description>Machine Learning Researcher, PhD in Machine Learning.&#xA;Been at @UCL @GoogleDeepmind @UCBerkeley&#xA;&#xA;✨Researching Reinforcement Learning&#xA;✨Website: https://ezgikorkmaz.github.io/</description><link>https://bsky.app/profile/ezgikorkmaz.bsky.social</link><title>@ezgikorkmaz.bsky.social - Ezgi Korkmaz</title><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mlo6b6db6k2a</link><description>✨My single author paper just got accepted as a spotlight presentation at ICML 2026. Truly excited! More news to come! #ICML2026 @icmlconf.bsky.social</description><pubDate>12 May 2026 16:07 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mlo6b6db6k2a</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mkalyxtbr22h</link><description>✨Two single author papers accepted to ICLR 2026 ✨&#xA;&#xA;Excited to share these results at #ICLR2026! @iclr-conf.bsky.social</description><pubDate>24 Apr 2026 13:10 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mkalyxtbr22h</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mfp4dc736223</link><description>✨Two single author papers accepted to ICLR 2026!✨ &#xA;&#xA;Truly excited to present these results at #ICLR2026 ! &#xA;&#xA;@iclr-conf.bsky.social #ICLR26 #DeepRL #ICLR #ReinforcementLearning</description><pubDate>25 Feb 2026 16:34 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mfp4dc736223</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mdfq6vmdws2i</link><description>✨Two of my single author papers just got accepted to #ICLR2026 ! Truly excited! More news to come! @iclr-conf.bsky.social</description><pubDate>27 Jan 2026 12:12 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mdfq6vmdws2i</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mdeifrimzs26</link><description>If you are interested in reinforcement learning or reinforcement learning training of language models, this might spark your interest!&#xA;&#xA;✨See my new paper on scaling, capacity and complexity of reinforcement learning published at #AAAI2026 ! @aaai.org &#xA;&#xA;#AAAI #AAAI26 #ReinforcementLearning #DeepRL</description><pubDate>27 Jan 2026 00:20 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mdeifrimzs26</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3mcx2bfej5s2b</link><description>✨Excited to present these results at #AAAI2026 ! &#xA;&#xA;📜It is a must read if you are interested in reinforcement learning 📜  @aaai.org&#xA; &#xA;Paper: Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms&#xA;&#xA;#ReinforcementLearning #AAAI #AAAI26 #DeepRL</description><pubDate>21 Jan 2026 16:02 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3mcx2bfej5s2b</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3m6mb7r3le227</link><description>Excited to present these results at #NeurIPS2025!&#xA;&#xA;✨My new paper on core principles of reinforcement learning was accepted as a Spotlight presentation at @neuripsconf.bsky.social !✨</description><pubDate>27 Nov 2025 11:27 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3m6mb7r3le227</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lm5zoqtay22d</link><description>I opened this poll and I will share the results here as well:&#xA;#ICML #ICML2025</description><pubDate>06 Apr 2025 18:01 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lm5zoqtay22d</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lhwaaewuh22a</link><description>If you are interested in large language models see my paper below on how we can uncover the biases learned by these models.&#xA;&#xA;Link: https://neurips2023-enlsp.github.io/papers/paper_95.pdf&#xA;&#xA;#ReinforcementLearning #FoundationModels #DeepRL #DeepReinforcementLearning #ResponsibleAI #AIBias #LLMs #LanguageModels</description><pubDate>11 Feb 2025 17:56 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lhwaaewuh22a</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lh6ye5sqxk2g</link><description>Gave a lecture on Hoeffding&#39;s Inequality recently at #LMUMunich! Nice to have a chance to talk about foundations. Find my slides below: &#xA;&#xA;Link: ezgikorkmaz.github.io&#xA;&#xA;#Statistics #Probability #LMU #MachineLearning&#xA;https://ezgikorkmaz.github.io</description><pubDate>02 Feb 2025 12:04 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lh6ye5sqxk2g</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lgdqdidp5k2t</link><description>If you are interested in deep reinforcement learning, I will share this repo here:&#xA;&#xA;Link: https://github.com/EzgiKorkmaz/adversarial-reinforcement-learning&#xA;&#xA;#ReinforcementLearning #SafeAI #Adversarial #Robust #DeepRL #robustRL #LanguageModels #AdversarialRL #AISafety #ExplainableAI #TrustworthyAI #ResponsibleAI #DeepReinforcementLearning</description><pubDate>22 Jan 2025 15:59 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lgdqdidp5k2t</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lfpgsrn6sc2m</link><description>A recent paper I wrote introduces foundational analysis on deep reinforcement learning decision making and representations learnt by it. &#xA;&#xA;Link: https://proceedings.mlr.press/v235/korkmaz24a.html&#xA;&#xA;#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning</description><pubDate>14 Jan 2025 14:15 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lfpgsrn6sc2m</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lfkmvsxor22b</link><description>I wrote a recent survey about deep reinforcement learning. The paper is a compact guide to understand some of the key concepts in reinforcement learning.&#xA;&#xA;Link: https://arxiv.org/pdf/2401.02349v2&#xA;&#xA;#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning</description><pubDate>12 Jan 2025 16:21 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lfkmvsxor22b</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lcxuz5ymek26</link><description>The recent paper I wrote on deep reinforcement learning and generalization will appear #NeurIPS2024 @neuripsconf.bsky.social !&#xA;&#xA;#ReinforcementLearning #DeepReinforcementLearning</description><pubDate>10 Dec 2024 18:35 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lcxuz5ymek26</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lcpojz2aek2f</link><description>If you are curious about deep reinforcement learning find the compact highlights of my recent papers in this new short piece: &#xA;&#xA;#NeurIPS2024 @neuripsconf.bsky.social #NeurIPS24&#xA;#reinforcementlearning #AIsafety #AISecurity #ResponsibleAI #TrustworthyAI #RobustAI #DeepRL&#xA;&#xA;https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lclqpgignc2q&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>07 Dec 2024 12:18 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lcpojz2aek2f</guid></item><item><link>https://bsky.app/profile/ezgikorkmaz.bsky.social/post/3lclqpgignc2q</link><description>The paper on adversarial non-robustness is now online! This paper highlights what you should now about Robust Reinforcement Learning. &#xA;&#xA;Adversarial Robust Deep Reinforcement Learning is Neither Robust Nor Safe &#xA;Link: https://openreview.net/pdf?id=EPa0udvXJE&#xA;&#xA;#NeurIPS2024 &#xA;neuripsconf.bsky.social&#xA;#NeurIPS24</description><pubDate>05 Dec 2024 22:46 +0000</pubDate><guid isPermaLink="false">at://did:plc:ao7h7cm6slhpogmkoircj2ih/app.bsky.feed.post/3lclqpgignc2q</guid></item></channel></rss>