A Multilevel Low-Rank Newton Method with Super-linear Convergence Rate and its Application to Non-convex Problems.

Panagiotis Tigas

Nick Tsipinakis Panagiotis Tigas Panos Parpas A Multilevel Low-Rank Newton Method with Super-linear Convergence Rate and its Application to Non-convex Problems. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=PKakPzVVja db/journals/tmlr/tmlr2026.html#TsipinakisTP26 streams/journals/tmlr

Shreshth A. Malik Tiarnan A. S. Doherty Panagiotis Tigas Muhammed Razzak Stephen J. Roberts Aron Walsh Yarin Gal MADE: Benchmark Environments for Closed-Loop Materials Discovery. 2026 January abs/2601.20996 CoRR https://doi.org/10.48550/arXiv.2601.20996 db/journals/corr/corr2601.html#abs-2601-20996 streams/journals/corr

Amir Mohammad Karimi-Mamaghan Panagiotis Tigas Karl Henrik Johansson Yarin Gal Yashas Annadani Stefan Bauer Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. 2024 ICML https://proceedings.mlr.press/v235/karimi-mamaghan24a.html https://openreview.net/forum?id=bqgtkBDkNs conf/icml/2024 db/conf/icml/icml2024.html#Karimi-Mamaghan24 23215-23237 Yashas Annadani Panagiotis Tigas Stefan Bauer Adam Foster 0001 Amortized Active Causal Induction with Deep Reinforcement Learning. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/4e2c6423d724370b36c3a7612f25b78c-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#AnnadaniTB024 Luckeciano Carvalho Melo Panagiotis Tigas Alessandro Abate Yarin Gal Deep Bayesian Active Learning for Preference Modeling in Large Language Models. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/d5e256c988bdee59a0f4d7a9bc1dd6d9-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#MeloTAG24

Yashas Annadani Panagiotis Tigas Stefan Bauer Adam Foster 0001 Amortized Active Causal Induction with Deep Reinforcement Learning. 2024 abs/2405.16718 CoRR https://doi.org/10.48550/arXiv.2405.16718 db/journals/corr/corr2405.html#abs-2405-16718

Amir Mohammad Karimi-Mamaghan Panagiotis Tigas Karl Henrik Johansson Yarin Gal Yashas Annadani Stefan Bauer Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. 2024 abs/2406.03209 CoRR https://doi.org/10.48550/arXiv.2406.03209 db/journals/corr/corr2406.html#abs-2406-03209

Luckeciano C. Melo Panagiotis Tigas Alessandro Abate Yarin Gal Deep Bayesian Active Learning for Preference Modeling in Large Language Models. 2024 abs/2406.10023 CoRR https://doi.org/10.48550/arXiv.2406.10023 db/journals/corr/corr2406.html#abs-2406-10023

Panagiotis Tigas Yashas Annadani Desi R. Ivanova Andrew Jesson Yarin Gal Adam Foster 0001 Stefan Bauer Differentiable Multi-Target Causal Bayesian Experimental Design. 34263-34279 2023 ICML https://proceedings.mlr.press/v202/tigas23a.html conf/icml/2023 db/conf/icml/icml2023.html#TigasAIJG0B23

Yashas Annadani Panagiotis Tigas Desi R. Ivanova Andrew Jesson Yarin Gal Adam Foster 0001 Stefan Bauer Differentiable Multi-Target Causal Bayesian Experimental Design. 2023 abs/2302.10607 CoRR https://doi.org/10.48550/arXiv.2302.10607 db/journals/corr/corr2302.html#abs-2302-10607

Panagiotis Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Yarin Gal Stefan Bauer Interventions, Where and How? Experimental Design for Causal Models at Scale. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/98a5c0470e57d518ade4e56c6ee0b363-Abstract-Conference.html db/conf/nips/neurips2022.html#TigasAJSGB22

Panagiotis Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Yarin Gal Stefan Bauer Interventions, Where and How? Experimental Design for Causal Models at Scale. 2022 abs/2203.02016 CoRR https://doi.org/10.48550/arXiv.2203.02016 db/journals/corr/corr2203.html#abs-2203-02016

Vishal Upendran Panagiotis Tigas Banafsheh Ferdousi Téo Bloch Mark C. M. Cheung Siddha Ganju Asti Bhatt Ryan M. McGranaghan Yarin Gal Global geomagnetic perturbation forecasting using Deep Learning. 2022 abs/2205.12734 CoRR https://doi.org/10.48550/arXiv.2205.12734 db/journals/corr/corr2205.html#abs-2205-12734

Noor Sajid Panagiotis Tigas Zafeirios Fountas Qinghai Guo Alexey Zakharov Lancelot Da Costa Modelling non-reinforced preferences using selective attention. 2022 abs/2207.13699 CoRR https://doi.org/10.48550/arXiv.2207.13699 db/journals/corr/corr2207.html#abs-2207-13699

Tim Murray Browne Panagiotis Tigas Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders. 2021 NIME https://doi.org/10.21428/92fbeb44.9d4bcd4b conf/nime/2021 db/conf/nime/nime2021.html#BrowneT21 Andrew Jesson Panagiotis Tigas Joost van Amersfoort Andreas Kirsch 0002 Uri Shalit Yarin Gal Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data. 30465-30478 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/ffa4eb0e32349ae57f7a0ee8c7cd7c11-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#JessonTAKSG21 Andrey Malinin Neil Band Yarin Gal Mark J. F. Gales Alexander Ganshin German Chesnokov Alexey Noskov Andrey Ploskonosov Liudmila Prokhorenkova Ivan Provilkov Vatsal Raina Vyas Raina Denis Roginskiy Mariya Shmatova Panagiotis Tigas Boris Yangel Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. 2021 NeurIPS Datasets and Benchmarks https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/ad61ab143223efbc24c7d2583be69251-Abstract-round2.html conf/nips/2021db db/conf/nips/neurips2021db.html#MalininBGGGCNPP21

Panagiotis Tigas Tyson Hosmer Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search. 2021 abs/2101.07579 CoRR https://arxiv.org/abs/2101.07579 db/journals/corr/corr2101.html#abs-2101-07579

Panagiotis Tigas Téo Bloch Vishal Upendran Banafsheh Ferdoushi Mark C. M. Cheung Siddha Ganju Ryan M. McGranaghan Yarin Gal Asti Bhatt Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. 2021 abs/2102.01447 CoRR https://arxiv.org/abs/2102.01447 db/journals/corr/corr2102.html#abs-2102-01447

Noor Sajid Panagiotis Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston Exploration and preference satisfaction trade-off in reward-free learning. 2021 abs/2106.04316 CoRR https://arxiv.org/abs/2106.04316 db/journals/corr/corr2106.html#abs-2106-04316

Tim Murray Browne Panagiotis Tigas Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders. 2021 abs/2106.08867 CoRR https://arxiv.org/abs/2106.08867 db/journals/corr/corr2106.html#abs-2106-08867

Andrew Jesson Panagiotis Tigas Joost van Amersfoort Andreas Kirsch 0002 Uri Shalit Yarin Gal Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data. 2021 abs/2111.02275 CoRR https://arxiv.org/abs/2111.02275 db/journals/corr/corr2111.html#abs-2111-02275

Angelos Filos Panagiotis Tigas Rowan McAllister Nicholas Rhinehart Sergey Levine Yarin Gal Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? 3145-3153 2020 ICML http://proceedings.mlr.press/v119/filos20a.html conf/icml/2020 db/conf/icml/icml2020.html#FilosTMRLG20 Zain ul Abi Din Panagiotis Tigas Samuel T. King Benjamin Livshits PERCIVAL: Making In-Browser Perceptual Ad Blocking Practical with Deep Learning. 387-400 2020 USENIX ATC https://www.usenix.org/conference/atc20/presentation/din conf/usenix/2020 db/conf/usenix/usenix2020.html#DinTKL20

Zain ul Abi Din Panagiotis Tigas Samuel T. King Benjamin Livshits Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning. 2019 abs/1905.07444 CoRR http://arxiv.org/abs/1905.07444 db/journals/corr/corr1905.html#abs-1905-07444

Tim Murray Browne Dom Aversano Susanna Garcia Wallace Hobbes Daniel Lopez Tadeo Sendon Panagiotis Tigas Kacper Ziemianin Duncan Chapman The Cave of Sounds: An Interactive Installation Exploring How We Create Music Together. 307-310 2014 NIME https://doi.org/10.5281/zenodo.1178885 conf/nime/2014 db/conf/nime/nime2014.html#BrowneAGHLSTZC14 Alessandro Abate Joost van Amersfoort Yashas Annadani Dom Aversano Neil Band Stefan Bauer Asti Bhatt Téo Bloch Tim Murray Browne Duncan Chapman German Chesnokov Mark C. M. Cheung Lancelot Da Costa Zain ul Abi Din Tiarnan A. S. Doherty Banafsheh FerdousiBanafsheh Ferdoushi Angelos Filos Adam Foster 0001 Zafeirios Fountas Karl J. Friston Yarin Gal Mark J. F. Gales Siddha Ganju Alexander Ganshin Susanna Garcia Qinghai Guo Wallace Hobbes Tyson Hosmer Desi R. Ivanova Andrew Jesson Karl Henrik Johansson Amir Mohammad Karimi-Mamaghan Samuel T. King Andreas Kirsch 0002 Sergey Levine Benjamin Livshits Daniel Lopez Shreshth A. Malik Andrey Malinin Rowan McAllister Ryan M. McGranaghan Luckeciano Carvalho MeloLuckeciano C. Melo Alexey Noskov Liudmila OstroumovaLiudmila Prokhorenkova Panos Parpas Andrey Ploskonosov Ivan Provilkov Vatsal Raina Vyas Raina Muhammed Razzak Nicholas Rhinehart Stephen J. Roberts Denis Roginskiy Noor Sajid Bernhard Schölkopf Tadeo Sendon Uri Shalit Mariya Shmatova Nick Tsipinakis Vishal Upendran Aron Walsh Boris Yangel Alexey Zakharov Kacper Ziemianin