Measuring the small-scale matter power spectrum with high-resolution CMB lensing von Nguyễn, Hồ Nam, Sehgal, Neelima, Madhavacheril, Mathew S.

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Reinforcement learning pulses for transmon qubit entangling gates von Nam Nguyen, Ho, Motzoi, Felix, Metcalf, Mekena, Birgitta Whaley, K, Bukov, Marin, Schmitt, Markus

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Risk Guarantees for End-to-End Prediction and Optimization Processes von Ho-Nguyen, Nam, Kılınç-Karzan, Fatma

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A Second-Order Cone Based Approach for Solving the Trust-Region Subproblem and Its Variants von Ho-Nguyen, Nam, Kilinç-Karzan, Fatma

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Adversarial classification via distributional robustness with Wasserstein ambiguity von Ho-Nguyen, Nam, Wright, Stephen J.

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An online convex optimization-based framework for convex bilevel optimization von Shen, Lingqing, Ho-Nguyen, Nam, Kılınç-Karzan, Fatma

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Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models von Nam Ho-Nguyen, Kilinc-Karzan, Fatma

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Exploiting problem structure in optimization under uncertainty via online convex optimization von Ho-Nguyen, Nam, Kılınç-Karzan, Fatma

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Machine learning for continuous quantum error correction on superconducting qubits von Convy, Ian, Liao, Haoran, Zhang, Song, Patel, Sahil, Livingston, William P, Nguyen, Ho Nam, Siddiqi, Irfan, Whaley, K Birgitta

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Political districting without geography von Benadè, Gerdus, Ho-Nguyen, Nam, Hooker, J.N.

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Primal-Dual Algorithms for Convex Optimization via Regret Minimization von Ho-Nguyen, Nam, Kilinc-Karzan, Fatma

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Adversarial classification via distributional robustness with Wasserstein ambiguity von Ho-Nguyen, Nam, Wright, Stephen J.

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A projection-free method for solving convex bilevel optimization problems von Giang-Tran, Khanh-Hung, Ho-Nguyen, Nam, Lee, Dabeen

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Cyclic coordinate descent in the Hölder smooth setting von Gutman, David Huckleberry, Ho-Nguyen, Nam

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Online First-Order Framework for Robust Convex Optimization von Ho-Nguyen, Nam, Kılınç-Karzan, Fatma

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Distributionally robust chance-constrained programs with right-hand side uncertainty under Wasserstein ambiguity von Ho-Nguyen, Nam, Kılınç-Karzan, Fatma, Küçükyavuz, Simge, Lee, Dabeen

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The Simons Observatory: Science Goals and Forecasts von Aguirre, James, Alonso, David, Arnold, Kam, Austermann, Jason, Awan, Humna, Baccigalupi, Carlo, Bean, Rachel, Beckman, Shawn, Bianchini, Federico, Boada, Steven, Bond, J. Richard, Borrill, Julian, Bruno, Sarah Marie, Calabrese, Erminia, Calafut, Victoria, Calisse, Paolo, Carron, Julien, Challinor, Anthony, Chluba, Jens, Cho, Hsiao-Mei Sherry, Haan, Tijmen de, Dober, Bradley, Duell, Cody J., Dusatko, John, Errard, Josquin, Feeney, Stephen, Freese, Katherine, Fuzia, Brittany, Gallardo, Patricio A., Ghersi, Jose Tomas Galvez, Gluscevic, Vera, Han, Dongwon, Hill, Charles A., Hill7, J. Colin, Hincks, Adam D., Hinshaw, Gary, Ho, Shuay-Pwu Patty, Huang, Zhiqi, Hubmayr, Johannes, Huffenberger, Kevin, Hughes, John P., Ijjas, Anna, Ikape, Margaret, Jaffe, Andrew H., Jain, Bhuvnesh, Jeong, Oliver, Karpel, Ethan D., Keskitalo, Reijo, Knowles, Kenda, Koopman, Brian, Kosowsky, Arthur, Krachmalnicoff, Nicoletta, Kusaka, Akito, Lashner, Jacob, Lee, Adrian, Li, Yaqiong Li6 Zack, Lopez-Caraballo, Carlos, Louis, Thibaut, Lowry, Lindsay, Mak, Daisy, Maldonado, Felipe, McCallum, Nialh, McMahon, Jeff, Meerburg, P. Daniel, Miller, Amber, Mirmelstein, Mark, Munchmeyer, Moritz, Navaroli, Martin, Nishino, Haruki, Orlowski-Scherer, John, Page, Lyman, Perrotta, Francesca, Pisano, Giampaolo, Poletti, Davide, Reichardt, Christian L., Riechers, Dominik, Rojas, Felipe, Sadeh, Sharon, Sakurai, Yuki, Salatino, Maria, Sehgal, Neelima, Sievers, Jonathan, Simon, Sara M., Smith, Kendrick, Stevens, Jason R., Suzuki, Aritoki, Tajima, Osamu, Teply, Grant, Thorne, Ben, Tucker, Carole, Engelen, Alexander van, Lanen, Jeff Van, Verges, Clara, Wagoner, Kasey, Williams, Jason, Williams, Joel, Wollack, Edward J., Yu, Cyndia, Zago, Fernando, Zhu, Ningfeng

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The Approximability of Assortment Optimization Under Ranking Preferences von Aouad, Ali, Farias, Vivek, Levi, Retsef, Segev, Danny

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Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds von Gutman, David H., Ho-Nguyen, Nam

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Machine learning for continuous quantum error correction on superconducting qubits von Convy, Ian, Liao, Haoran, Zhang, Song, Patel, Sahil, Livingston, William P., Nguyen, Ho Nam, Siddiqi, Irfan, Whaley, K. Birgitta

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