| 2025 | ACL | Learning Task Representations from In-Context Learning. | Baturay Saglam, Xinyang Hu, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi |
| 2025 | ICLR | Intelligence at the Edge of Chaos. | Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk |
| 2025 | ICML | Procurement Auctions via Approximately Optimal Submodular Optimization. | Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo |
| 2025 | ICML | Adversarial Reasoning at Jailbreaking Time. | Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Amin Karbasi, Hamed Hassani |
| 2025 | IJCNLP | Large Language Models Encode Semantics and Alignment in Linearly Separable Representations. | Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi |
| 2024 | AISTATS | Submodular Minimax Optimization: Finding Effective Sets. | Loay Raed Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi |
| 2024 | ALT | The Impossibility of Parallelizing Boosting. | Amin Karbasi, Kasper Green Larsen |
| 2024 | COLT | Universal Rates for Regression: Separations between Cut-Off and Absolute Loss. | Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas |
| 2024 | ICLR | HyperAttention: Long-context Attention in Near-Linear Time. | Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh |
| 2024 | ICLR | Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. | Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Grel, Theodoros Rekatsinas |
| 2024 | ICML | Replicable Learning of Large-Margin Halfspaces. | Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou |
| 2024 | ICML | Cell2Sentence: Teaching Large Language Models the Language of Biology. | Daniel LeVine, Syed Asad Rizvi, Sacha Lvy, Nazreen Pallikkavaliyaveetil, David Zhang, Xingyu Chen, Sina Ghadermarzi, Ruiming Wu, Zihe Zheng, Ivan Vrkic, Anna Zhong, Daphne Raskin, Insu Han, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, Amin Karbasi, Rahul Madhav Dhodapkar, David van Dijk |
| 2023 | AISTATS | Exact Gradient Computation for Spiking Neural Networks via Forward Propagation. | Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi |
| 2023 | CISS | Stacking multiple optimal transport policies to map functional connectomes. | Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost |
| 2023 | ICLR | Replicable Bandits. | Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas |
| 2023 | ICLR | Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. | Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias |
| 2023 | ICML | Statistical Indistinguishability of Learning Algorithms. | Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas |
| 2023 | ICML | Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning. | Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra |
| 2023 | ICML | KDEformer: Accelerating Transformers via Kernel Density Estimation. | Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi |
| 2022 | AISTATS | Federated Functional Gradient Boosting. | Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi |
| 2022 | COLT | Self-Consistency of the Fokker Planck Equation. | Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani |
| 2022 | ICLR | Learning Distributionally Robust Models at Scale via Composite Optimization. | Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi |
| 2022 | ICLR | Scalable Sampling for Nonsymmetric Determinantal Point Processes. | Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi |
| 2022 | ICML | Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. | Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi |
| 2022 | MICCAI | Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport. | Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost |
| 2022 | MICCAI | Transforming Connectomes to "Any" Parcellation via Graph Matching. | Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, Dustin Scheinost |
| 2021 | AAAI | Regret Bounds for Batched Bandits. | Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni |
| 2021 | AISTATS | Meta Learning in the Continuous Time Limit. | Ruitu Xu, Lin Chen, Amin Karbasi |
| 2021 | COLT | Adaptivity in Adaptive Submodularity. | Hossein Esfandiari, Amin Karbasi, Vahab S. Mirrokni |
| 2021 | ICML | Regularized Submodular Maximization at Scale. | Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi |
| 2021 | MICCAI | Data-Driven Mapping Between Functional Connectomes Using Optimal Transport. | Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost |
| 2021 | UAI | Learning and certification under instance-targeted poisoning. | Ji Gao, Amin Karbasi, Mohammad Mahmoody |
| 2021 | UAI | The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. | Yifei Min, Lin Chen, Amin Karbasi |
| 2020 | AISTATS | Black Box Submodular Maximization: Discrete and Continuous Settings. | Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi |
| 2020 | AISTATS | Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. | Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2020 | AISTATS | One Sample Stochastic Frank-Wolfe. | Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2020 | ICML | More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models. | Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi |
| 2020 | ICML | Streaming Submodular Maximization under a k-Set System Constraint. | Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi |
| 2019 | AAAI | Eliminating Latent Discrimination: Train Then Mask. | Soheil Ghili, Ehsan Kazemi, Amin Karbasi |
| 2019 | AISTATS | Projection-Free Bandit Convex Optimization. | Lin Chen, Mingrui Zhang, Amin Karbasi |
| 2019 | ICML | Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. | Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi |
| 2019 | ICML | Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications. | Chris Harshaw, Moran Feldman, Justin Ward, Amin Karbasi |
| 2019 | STOC | Unconstrained submodular maximization with constant adaptive complexity. | Lin Chen, Moran Feldman, Amin Karbasi |
| 2018 | AISTATS | Online Continuous Submodular Maximization. | Lin Chen, Hamed Hassani, Amin Karbasi |
| 2018 | AISTATS | Comparison Based Learning from Weak Oracles. | Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi |
| 2018 | AISTATS | Submodularity on Hypergraphs: From Sets to Sequences. | Marko Mitrovic, Moran Feldman, Andreas Krause, Amin Karbasi |
| 2018 | AISTATS | Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap. | Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2018 | ICML | Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints. | Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi |
| 2018 | ICML | Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? | Lin Chen, Moran Feldman, Amin Karbasi |
| 2018 | ICML | Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity. | Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi |
| 2018 | ICML | Data Summarization at Scale: A Two-Stage Submodular Approach. | Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi |
| 2018 | ICML | Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings. | Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2017 | AAAI | Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. | Lin Chen, Seyed Hamed Hassani, Amin Karbasi |
| 2017 | COLT | Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization. | Moran Feldman, Christopher Harshaw, Amin Karbasi |
| 2017 | ICML | Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten". | Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2017 | ICML | Differentially Private Submodular Maximization: Data Summarization in Disguise. | Marko Mitrovic, Mark Bun, Andreas Krause, Amin Karbasi |
| 2017 | ICML | Probabilistic Submodular Maximization in Sub-Linear Time. | Serban Stan, Morteza Zadimoghaddam, Andreas Krause, Amin Karbasi |
| 2017 | MICCAI | A Submodular Approach to Create Individualized Parcellations of the Human Brain. | Mehraveh Salehi, Amin Karbasi, Dustin Scheinost, R. Todd Constable |
| 2017 | UAI | Submodular Variational Inference for Network Reconstruction. | Lin Chen, Forrest W. Crawford, Amin Karbasi |
| 2016 | AAAI | Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. | Lin Chen, Forrest W. Crawford, Amin Karbasi |
| 2016 | ICASSP | Learning network structures from firing patterns. | Amin Karbasi, Amir Hesam Salavati, Martin Vetterli |
| 2016 | ICML | Fast Constrained Submodular Maximization: Personalized Data Summarization. | Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi |
| 2015 | AAAI | Submodular Surrogates for Value of Information. | Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause |
| 2015 | AAAI | Lazier Than Lazy Greedy. | Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrk, Andreas Krause |
| 2015 | AISTATS | Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning. | Mario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause |
| 2015 | COLT | Sequential Information Maximization: When is Greedy Near-optimal? | Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause |
| 2015 | COLT | Fast Mixing for Discrete Point Processes. | Patrick Rebeschini, Amin Karbasi |
| 2015 | ICALP | Normalization Phenomena in Asynchronous Networks. | Amin Karbasi, Johannes Lengler, Angelika Steger |
| 2015 | IJCAI | Non-Monotone Adaptive Submodular Maximization. | Alkis Gotovos, Amin Karbasi, Andreas Krause |
| 2015 | ISIT | Asynchronous decoding of LDPC codes over BEC. | Saeid Haghighatshoar, Amin Karbasi, Amir Hesam Salavati |
| 2014 | AISTATS | Near Optimal Bayesian Active Learning for Decision Making. | Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa |
| 2014 | ICML | Near-Optimally Teaching the Crowd to Classify. | Adish Singla, Ilija Bogunovic, Gbor Bartk, Amin Karbasi, Andreas Krause |
| 2014 | KDD | Streaming submodular maximization: massive data summarization on the fly. | Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2013 | ICML | Iterative Learning and Denoising in Convolutional Neural Associative Memories. | Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi |
| 2013 | ITW | Coupled neural associative memories. | Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi |
| 2013 | STACS | Constrained Binary Identification Problem. | Amin Karbasi, Morteza Zadimoghaddam |
| 2012 | ICML | Comparison-Based Learning with Rank Nets. | Amin Karbasi, Stratis Ioannidis, Laurent Massouli |
| 2012 | ISIT | Multi-level error-resilient neural networks. | Amir Hesam Salavati, Amin Karbasi |
| 2012 | ITA | Hot or not: Interactive content search using comparisons. | Amin Karbasi, Stratis Ioannidis, Laurent Massouli |
| 2012 | ITW | Sequential group testing with graph constraints. | Amin Karbasi, Morteza Zadimoghaddam |
| 2011 | ICALP | Content Search through Comparisons. | Amin Karbasi, Stratis Ioannidis, Laurent Massouli |
| 2011 | ICASSP | Calibration in circular ultrasound tomography devices. | Reza Parhizkar, Amin Karbasi, Martin Vetterli |
| 2011 | ISIT | Compression with graphical constraints: An interactive browser. | Amin Karbasi, Morteza Zadimoghaddam |
| 2010 | ISIT | Graph-constrained group testing. | Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama |
| 2010 | MOBICOM | From centralized to distributed sensor localization. | Amin Karbasi |
| 2010 | SIGMETRICS | Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm. | Amin Karbasi, Sewoong Oh |
| 2009 | ISIT | Support recovery in compressed sensing: An estimation theoretic approach. | Amin Karbasi, Ali Hormati, Soheil Mohajer, Martin Vetterli |