Balancing Communication and Computation in Distributed Optimization von Berahas, Albert S., Bollapragada, Raghu, Keskar, Nitish Shirish, Wei, Ermin

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Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide ( NO x ) Emissions Using Deep Learning von Pillai, Rinav, Triantopoulos, Vassilis, Berahas, Albert S, Brusstar, Matthew, Sun, Ruonan, Nevius, Tim, Boehman, André L

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A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization von Berahas, Albert S., Cao, Liyuan, Choromanski, Krzysztof, Scheinberg, Katya

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First- and second-order high probability complexity bounds for trust-region methods with noisy oracles von Cao, Liyuan, Berahas, Albert S., Scheinberg, Katya

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Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction von Berahas, Albert S., Shi, Jiahao, Yi, Zihong, Zhou, Baoyu

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Limited-memory BFGS with displacement aggregation von Berahas, Albert S., Curtis, Frank E., Zhou, Baoyu

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Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1 von Jahani, Majid, Nazari, Mohammadreza, Rusakov, Sergey, Berahas, Albert S., Takáč, Martin

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Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods von Berahas, Albert S., Byrd, Richard H., Nocedal, Jorge

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Balancing Communication and Computation in Gradient Tracking Algorithms for Decentralized Optimization von Berahas, Albert S., Bollapragada, Raghu, Gupta, Shagun

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On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps von Berahas, Albert, Bollapragada, Raghu, Wei, Ermin

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Adaptive Consensus: A Network Pruning Approach for Decentralized Optimization von Shah, Suhail M., Berahas, Albert S., Bollapragada, Raghu

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SEQUENTIAL QUADRATIC OPTIMIZATION FOR NONLINEAR EQUALITY CONSTRAINED STOCHASTIC OPTIMIZATION von Berahas, Albert S., Curtis, Frank E., Robinson, Daniel, Zhou, Baoyu

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A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians von Berahas, Albert S., Curtis, Frank E., O’Neill, Michael J., Robinson, Daniel P.

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Multiblock Parameter Calibration in Computer Models von Jeong, Cheoljoon, Xu, Ziang, Berahas, Albert S., Byon, Eunshin, Cetin, Kristen

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adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs von Keskar, Nitish Shirish, Berahas, Albert S.

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Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm von Berahas, Albert S, Bollapragada, Raghu, Dong, Wanping

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Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees von Berahas, Albert S, Bollapragada, Raghu, Shi, Jiahao

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Gradient Descent in the Absence of Global Lipschitz Continuity of the Gradients von Patel, Vivak, Berahas, Albert S

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Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients von Garg, Sachin, Berahas, Albert S, Dereziński, Michał

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A Flexible Gradient Tracking Algorithmic Framework for Decentralized Optimization von Berahas, Albert S, Bollapragada, Raghu, Gupta, Shagun

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